ast_errors stringlengths 0 3.2k | d_id int64 44 121k | id int64 70 338k | n_whitespaces int64 3 14k | path stringlengths 8 134 | n_words int64 4 4.82k | n_identifiers int64 1 131 | random_cut stringlengths 16 15.8k | commit_message stringlengths 2 15.3k | fun_name stringlengths 1 84 | commit_id stringlengths 40 40 | repo stringlengths 3 28 | file_name stringlengths 5 79 | ast_levels int64 6 31 | nloc int64 1 548 | url stringlengths 31 59 | complexity int64 1 66 | token_counts int64 6 2.13k | n_ast_errors int64 0 28 | vocab_size int64 4 1.11k | n_ast_nodes int64 15 19.2k | language stringclasses 1
value | documentation dict | code stringlengths 101 62.2k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
@Deprecated(message=deprecation_message)
@dataclass | 27,474 | 123,916 | 110 | python/ray/util/ml_utils/checkpoint_manager.py | 49 | 12 | def _tune_legacy_checkpoint_score_attr(self) -> Optional[str]:
if self.checkpoint_score_attribute is None:
return self.checkpoint_score_attribute
prefix = ""
if self.checkpoint_score_order == MIN:
prefix = "min-"
return f"{prefix}{self.checkpoint_score_at... | [AIR] More checkpoint configurability, `Result` extension (#25943)
This PR:
* Allows the user to set `keep_checkpoints_num` and `checkpoint_score_attr` in `RunConfig` using the `CheckpointStrategy` dataclass
* Adds two new fields to the `Result` object - `best_checkpoints` - a list of saved best checkpoints as deter... | _tune_legacy_checkpoint_score_attr | dc7ed086a5038775e378b32cb31fb4a79f418dd9 | ray | checkpoint_manager.py | 9 | 11 | https://github.com/ray-project/ray.git | 3 | 38 | 1 | 41 | 111 | Python | {
"docstring": "Same as ``checkpoint_score_attr`` in ``tune.run``.\n\n Only used for Legacy API compatibility.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 11,
"vocab_size": 11
} | def _tune_legacy_checkpoint_score_attr(self) -> Optional[str]:
if self.checkpoint_score_attribute is None:
return self.checkpoint_score_attribute
prefix = ""
if self.checkpoint_score_order == MIN:
prefix = "min-"
return f"{prefix}{self.checkpoint_score_at... |
18,600 | 89,979 | 451 | tests/sentry/api/endpoints/test_project_details.py | 59 | 30 | def test_dynamic_sampling_bias_activation(self):
project = self.project # force creation
project.update_option(
"sentry:dynamic_sampling_biases",
[
{"id": "boostEnvironments", "active": False},
],
)
self.login_as(self.user)
... | ref(sampling): Prettify audit logs - Part 1 (#42534) | test_dynamic_sampling_bias_activation | b83aa7328d49e5b45357417c78b7d1a63bfb056e | sentry | test_project_details.py | 16 | 33 | https://github.com/getsentry/sentry.git | 1 | 170 | 0 | 49 | 293 | Python | {
"docstring": "\n Tests that when sending a request to enable a dynamic sampling bias,\n the bias will be successfully enabled and the audit log 'SAMPLING_BIAS_ENABLED' will be triggered\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 26,
"vocab_size": 22
} | def test_dynamic_sampling_bias_activation(self):
project = self.project # force creation
project.update_option(
"sentry:dynamic_sampling_biases",
[
{"id": "boostEnvironments", "active": False},
],
)
self.login_as(self.user)
... | |
19,844 | 100,351 | 467 | lib/model/layers.py | 152 | 25 | def call(self, inputs, *args, **kwargs):
input_shape = K.int_shape(inputs)
if len(input_shape) != 4:
raise ValueError('Inputs should have rank ' +
str(4) +
'; Received input shape:', str(input_shape))
if self.data_fo... | Update code to support Tensorflow versions up to 2.8 (#1213)
* Update maximum tf version in setup + requirements
* - bump max version of tf version in launcher
- standardise tf version check
* update keras get_custom_objects for tf>2.6
* bugfix: force black text in GUI file dialogs (linux)
* dssim loss -... | call | c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf | faceswap | layers.py | 13 | 27 | https://github.com/deepfakes/faceswap.git | 6 | 267 | 0 | 71 | 406 | Python | {
"docstring": "This is where the layer's logic lives.\n\n Parameters\n ----------\n inputs: tensor\n Input tensor, or list/tuple of input tensors\n args: tuple\n Additional standard keras Layer arguments\n kwargs: dict\n Additional standard keras La... | def call(self, inputs, *args, **kwargs):
input_shape = K.int_shape(inputs)
if len(input_shape) != 4:
raise ValueError('Inputs should have rank ' +
str(4) +
'; Received input shape:', str(input_shape))
if self.data_fo... | |
40,250 | 168,239 | 137 | pandas/core/indexes/base.py | 40 | 15 | def to_native_types(self, slicer=None, **kwargs) -> np.ndarray:
warnings.warn(
"The 'to_native_types' method is deprecated and will be removed in "
"a future version. Use 'astype(str)' instead.",
FutureWarning,
stacklevel=find_stack_level(inspect.currentf... | PERF cache find_stack_level (#48023)
cache stacklevel | to_native_types | 2f8d0a36703e81e4dca52ca9fe4f58c910c1b304 | pandas | base.py | 12 | 37 | https://github.com/pandas-dev/pandas.git | 2 | 61 | 0 | 37 | 100 | Python | {
"docstring": "\n Format specified values of `self` and return them.\n\n .. deprecated:: 1.2.0\n\n Parameters\n ----------\n slicer : int, array-like\n An indexer into `self` that specifies which values\n are used in the formatting process.\n kwargs : d... | def to_native_types(self, slicer=None, **kwargs) -> np.ndarray:
warnings.warn(
"The 'to_native_types' method is deprecated and will be removed in "
"a future version. Use 'astype(str)' instead.",
FutureWarning,
stacklevel=find_stack_level(inspect.currentf... | |
42,266 | 177,079 | 76 | networkx/algorithms/distance_measures.py | 44 | 14 | def periphery(G, e=None, usebounds=False, weight=None):
if usebounds is True and e is None and not G.is_directed():
return _extrema_bounding(G, compute="periphery", weight=weight)
| Add weight distance metrics (#5305)
Adds the weight keyword argument to allow users to compute weighted distance metrics
e.g. diameter, eccentricity, periphery, etc. The kwarg works in the same fashion as the
weight param for shortest paths - i.e. if a string, look up with edge attr by key, if callable,
compute the... | periphery | 28f78cfa9a386620ee1179582fda1db5ffc59f84 | networkx | distance_measures.py | 11 | 8 | https://github.com/networkx/networkx.git | 7 | 90 | 0 | 31 | 140 | Python | {
"docstring": "Returns the periphery of the graph G.\n\n The periphery is the set of nodes with eccentricity equal to the diameter.\n\n Parameters\n ----------\n G : NetworkX graph\n A graph\n\n e : eccentricity dictionary, optional\n A precomputed dictionary of eccentricities.\n\n weigh... | def periphery(G, e=None, usebounds=False, weight=None):
if usebounds is True and e is None and not G.is_directed():
return _extrema_bounding(G, compute="periphery", weight=weight)
if e is None:
e = eccentricity(G, weight=weight)
diameter = max(e.values())
p = [v for v in e if e[v] =... | |
91,294 | 292,193 | 74 | homeassistant/components/zwave_js/climate.py | 30 | 10 | def _current_mode_setpoint_enums(self) -> list[ThermostatSetpointType | None]:
if self._current_mode is None:
# Thermostat(valve) with no support for setting a mode is considered heating-only
return [ThermostatSetpointType.HEATING]
return THERMOSTA | Add type ignore error codes [N-Z] (#66779) | _current_mode_setpoint_enums | 67e94f2b4ba614a37544f54ccb85984f0d600376 | core | climate.py | 11 | 5 | https://github.com/home-assistant/core.git | 2 | 43 | 0 | 27 | 71 | Python | {
"docstring": "Return the list of enums that are relevant to the current thermostat mode.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 12
} | def _current_mode_setpoint_enums(self) -> list[ThermostatSetpointType | None]:
if self._current_mode is None:
# Thermostat(valve) with no support for setting a mode is considered heating-only
return [ThermostatSetpointType.HEATING]
return THERMOSTAT_MODE_SETPOINT_MAP.get... | |
13,281 | 63,386 | 54 | .venv/lib/python3.8/site-packages/pip/_vendor/pyparsing.py | 25 | 7 | def line(loc, strg):
lastCR = strg.rfind("\n", 0, loc)
nextCR = strg.find("\n", loc)
if nextCR >= 0:
return strg[lastCR + 1:nextCR]
else:
return strg[lastCR + 1:]
| upd; format | line | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | pyparsing.py | 11 | 7 | https://github.com/jindongwang/transferlearning.git | 2 | 54 | 0 | 19 | 90 | Python | {
"docstring": "Returns the line of text containing loc within a string, counting newlines as line separators.\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 15,
"vocab_size": 14
} | def line(loc, strg):
lastCR = strg.rfind("\n", 0, loc)
nextCR = strg.find("\n", loc)
if nextCR >= 0:
return strg[lastCR + 1:nextCR]
else:
return strg[lastCR + 1:]
| |
21,445 | 102,080 | 150 | lib/sysinfo.py | 37 | 13 | def _parse_configs(self, config_files):
formatted = ""
for cfile in config_files:
fname = os.path.basename(cfile)
ext = os.path.splitext(cfile)[1]
formatted += f"\n--------- {fname} ---------\n"
if ext == ".ini":
| Allow decoding errors | _parse_configs | 48c886b3dce3d3117ad16edaf35c8abd28dc51f5 | faceswap | sysinfo.py | 13 | 11 | https://github.com/deepfakes/faceswap.git | 4 | 71 | 0 | 26 | 127 | Python | {
"docstring": " Parse the given list of config files into a human readable format.\n\n Parameters\n ----------\n config_files: list\n A list of paths to the faceswap config files\n\n Returns\n -------\n str\n The current configuration in the config file... | def _parse_configs(self, config_files):
formatted = ""
for cfile in config_files:
fname = os.path.basename(cfile)
ext = os.path.splitext(cfile)[1]
formatted += f"\n--------- {fname} ---------\n"
if ext == ".ini":
formatted += self.... | |
43,685 | 181,946 | 57 | src/textual/dom.py | 18 | 6 | def parent(self) -> DOMNode:
if self._parent is None:
raise NoParent(f"{self} has no parent")
assert isinstance(self._parent, DOMNode)
return self._parent
| docstrings and tidy | parent | 2635f58e7c3d10b161ee69a15ebfe6499ac26daa | textual | dom.py | 11 | 13 | https://github.com/Textualize/textual.git | 2 | 34 | 0 | 17 | 60 | Python | {
"docstring": "Get the parent node.\n\n Raises:\n NoParent: If this is the root node.\n\n Returns:\n DOMNode: The node which is the direct parent of this node.\n ",
"language": "en",
"n_whitespaces": 67,
"n_words": 24,
"vocab_size": 17
} | def parent(self) -> DOMNode:
if self._parent is None:
raise NoParent(f"{self} has no parent")
assert isinstance(self._parent, DOMNode)
return self._parent
| |
3,287 | 20,236 | 88 | pipenv/patched/notpip/_vendor/platformdirs/unix.py | 23 | 11 | def user_documents_dir(self) -> str:
documents_dir = _get_user_dirs_folder("XDG_DOCUMENTS_DIR")
if documents_dir is None:
documents_dir = os.environ.get("XDG_DOCUMENTS_DIR", "").strip()
if not documents_dir:
documents_dir = os.path.ex | check point progress on only bringing in pip==22.0.4 (#4966)
* vendor in pip==22.0.4
* updating vendor packaging version
* update pipdeptree to fix pipenv graph with new version of pip.
* Vendoring of pip-shims 0.7.0
* Vendoring of requirementslib 1.6.3
* Update pip index safety restrictions patch for p... | user_documents_dir | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | pipenv | unix.py | 13 | 10 | https://github.com/pypa/pipenv.git | 3 | 51 | 0 | 16 | 93 | Python | {
"docstring": "\n :return: documents directory tied to the user, e.g. ``~/Documents``\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | def user_documents_dir(self) -> str:
documents_dir = _get_user_dirs_folder("XDG_DOCUMENTS_DIR")
if documents_dir is None:
documents_dir = os.environ.get("XDG_DOCUMENTS_DIR", "").strip()
if not documents_dir:
documents_dir = os.path.expanduser("~/Documents... | |
76,025 | 259,992 | 230 | sklearn/ensemble/tests/test_iforest.py | 65 | 27 | def test_iforest_sparse(global_random_seed):
rng = check_random_state(global_random_seed)
X_train, X_test = train_test_split(diabetes.data[:50], random_state=rng)
grid = ParameterGrid({"m | TST use global_random_seed in sklearn/ensemble/tests/test_iforest.py (#22901)
Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> | test_iforest_sparse | 6ca1f5e4d0d16bc9a7f28582079a15e14f012719 | scikit-learn | test_iforest.py | 15 | 17 | https://github.com/scikit-learn/scikit-learn.git | 3 | 144 | 0 | 47 | 221 | Python | {
"docstring": "Check IForest for various parameter settings on sparse input.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | def test_iforest_sparse(global_random_seed):
rng = check_random_state(global_random_seed)
X_train, X_test = train_test_split(diabetes.data[:50], random_state=rng)
grid = ParameterGrid({"max_samples": [0.5, 1.0], "bootstrap": [True, False]})
for sparse_format in [csc_matrix, csr_matrix]:
X_... | |
75,703 | 259,304 | 76 | sklearn/metrics/_scorer.py | 41 | 17 | def get_scorer_names():
| API get_scorer returns a copy and introduce get_scorer_names (#22866) | get_scorer_names | 7dc97a378ecbfa056dd9cfa9d1ef4c07d2d0cc1f | scikit-learn | _scorer.py | 11 | 2 | https://github.com/scikit-learn/scikit-learn.git | 1 | 14 | 0 | 35 | 171 | Python | {
"docstring": "Get the names of all available scorers.\n\n These names can be passed to :func:`~sklearn.metrics.get_scorer` to\n retrieve the scorer object.\n\n Returns\n -------\n list of str\n Names of all available scorers.\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 29,
... | def get_scorer_names():
return sorted(_SCORERS.keys())
for name, metric in [
("precision", precision_score),
("recall", recall_score),
("f1", f1_score),
("jaccard", jaccard_score),
]:
_SCORERS[name] = make_scorer(metric, average="binary")
for average in ["macro", "micro", "samples", "... | |
22,155 | 105,541 | 317 | datasets/swda/swda.py | 95 | 21 | def _split_generators(self, dl_manager):
# Download extract and return path of data file.
dl_dir = dl_manager.download_and_extract(_URL)
# Use swda/ folder.
data_dir = os.path.join(dl_dir, "swda")
# Handle partitions files: download extract and return paths of split fil... | Support streaming swda dataset (#4914)
* Support streaming swda dataset
* Remove unused import | _split_generators | f10d38b8b60b09a633823a2fb2529c83933b9c80 | datasets | swda.py | 13 | 16 | https://github.com/huggingface/datasets.git | 1 | 126 | 0 | 51 | 211 | Python | {
"docstring": "\n Returns SplitGenerators.\n This method is tasked with downloading/extracting the data and defining the splits.\n\n Args:\n dl_manager (:obj:`datasets.utils.download_manager.DownloadManager`):\n Download manager to download and extract data files from ... | def _split_generators(self, dl_manager):
# Download extract and return path of data file.
dl_dir = dl_manager.download_and_extract(_URL)
# Use swda/ folder.
data_dir = os.path.join(dl_dir, "swda")
# Handle partitions files: download extract and return paths of split fil... | |
83,838 | 281,540 | 30 | gamestonk_terminal/stocks/discovery/disc_controller.py | 8 | 7 | def print_help(self):
help | Terminal Wide Rich (#1161)
* My idea for how we handle Rich moving forward
* remove independent consoles
* FIxed pylint issues
* add a few vars
* Switched print to console
* More transitions
* Changed more prints
* Replaced all prints
* Fixing tabulate
* Finished replace tabulate
* Finish... | print_help | 82747072c511beb1b2672846ae2ee4aec53eb562 | OpenBBTerminal | disc_controller.py | 9 | 31 | https://github.com/OpenBB-finance/OpenBBTerminal.git | 1 | 21 | 0 | 8 | 40 | Python | {
"docstring": "Print help[cmds]\n[src][Geek of Wall St][/src]\n rtearn realtime earnings from and expected moves\n[src][Finnhub][/src]\n pipo past IPOs dates\n fipo future IPOs dates\n[src][Yahoo Finance][/src]\n gainers show latest top gainers\n losers show ... | def print_help(self):
help_text =
console.print(text=help_text, menu="Stocks - Discovery")
| |
50,874 | 204,760 | 308 | django/core/serializers/xml_serializer.py | 60 | 22 | def handle_fk_field(self, obj, field):
self._start_relational_field(field)
related_att = getattr(obj, field.get_attname())
if related_att is not None:
if self.use_natural_foreign_keys and hasattr(
field.remote_field.model, "natural_key"
):
... | Refs #33476 -- Reformatted code with Black. | handle_fk_field | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | xml_serializer.py | 15 | 18 | https://github.com/django/django.git | 5 | 133 | 0 | 50 | 225 | Python | {
"docstring": "\n Handle a ForeignKey (they need to be treated slightly\n differently from regular fields).\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 13,
"vocab_size": 13
} | def handle_fk_field(self, obj, field):
self._start_relational_field(field)
related_att = getattr(obj, field.get_attname())
if related_att is not None:
if self.use_natural_foreign_keys and hasattr(
field.remote_field.model, "natural_key"
):
... | |
28,528 | 127,793 | 130 | python/ray/tests/test_metrics_head.py | 24 | 8 | def test_metrics_folder():
with _ray_start(include_dashboard=True) as context:
session_dir = context["session_dir"]
assert os.path.exists(
f"{session_dir}/metrics/grafana/provisioning/dashboards/default.yml"
)
assert os.path.exists(
f"{session_dir}/metric... | Export default configurations for grafana and prometheus (#28286) | test_metrics_folder | 42da4445e7a3cb358a1a02ae433a004e9fa836b5 | ray | test_metrics_head.py | 12 | 14 | https://github.com/ray-project/ray.git | 1 | 62 | 0 | 17 | 126 | Python | {
"docstring": "\n Tests that the default dashboard files get created.\n ",
"language": "en",
"n_whitespaces": 15,
"n_words": 8,
"vocab_size": 8
} | def test_metrics_folder():
with _ray_start(include_dashboard=True) as context:
session_dir = context["session_dir"]
assert os.path.exists(
f"{session_dir}/metrics/grafana/provisioning/dashboards/default.yml"
)
assert os.path.exists(
f"{session_dir}/metric... | |
7,049 | 38,931 | 150 | deepspeed/runtime/fp16/fused_optimizer.py | 44 | 12 | def state_dict(self):
state_dict = {}
state_dict['dynamic_loss_scale'] = self.dynamic_loss_scale
state_dict['cur_scale'] = self.cur_scale
state_dict['cur_iter'] = self.cur_iter
if state_dict['dynamic_loss_scale']:
state_dict['last_overflow_iter'] = self.last_... | [ZeRO] Default disable elastic ckpt in stage 1+2 and reduce CPU memory overhead during ckpt load (#1525)
Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com> | state_dict | 3293cf72a0abd5cf77a831996bd054bc908476a6 | DeepSpeed | fused_optimizer.py | 10 | 13 | https://github.com/microsoft/DeepSpeed.git | 2 | 94 | 0 | 34 | 166 | Python | {
"docstring": "\n Returns a dict containing the current state of this :class:`FP16_Optimizer` instance.\n This dict contains attributes of :class:`FP16_Optimizer`, as well as the state_dict\n of the contained Pytorch optimizer.\n Example::\n checkpoint = {}\n checkpo... | def state_dict(self):
state_dict = {}
state_dict['dynamic_loss_scale'] = self.dynamic_loss_scale
state_dict['cur_scale'] = self.cur_scale
state_dict['cur_iter'] = self.cur_iter
if state_dict['dynamic_loss_scale']:
state_dict['last_overflow_iter'] = self.last_... | |
77,021 | 261,829 | 402 | sklearn/naive_bayes.py | 162 | 24 | def _update_mean_variance(n_past, mu, var, X, sample_weight=None):
if X.shape[0] == 0:
return mu, var
# Compute (potentially weighted) mean and variance of new datapoints
if sample_weight is not None:
n_new = float(sample_weight.sum())
if np.isclose(... | TST Add common tests for single class fitting induced by sample weights (#24140)
Co-authored-by: johayon <johayon.math@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> | _update_mean_variance | 2cce02414d4a7161f0d105450c196d94b1182220 | scikit-learn | naive_bayes.py | 13 | 22 | https://github.com/scikit-learn/scikit-learn.git | 5 | 204 | 0 | 81 | 314 | Python | {
"docstring": "Compute online update of Gaussian mean and variance.\n\n Given starting sample count, mean, and variance, a new set of\n points X, and optionally sample weights, return the updated mean and\n variance. (NB - each dimension (column) in X is treated as independent\n -- you ge... | def _update_mean_variance(n_past, mu, var, X, sample_weight=None):
if X.shape[0] == 0:
return mu, var
# Compute (potentially weighted) mean and variance of new datapoints
if sample_weight is not None:
n_new = float(sample_weight.sum())
if np.isclose(... | |
48,393 | 197,220 | 50 | sympy/functions/combinatorial/numbers.py | 9 | 6 | def is_prime(n):
sympy_deprecation_warning(
,
| Deprecate redundant static methods | is_prime | b27e2b44626d138bd6ea235fbf114644baa5b144 | sympy | numbers.py | 9 | 10 | https://github.com/sympy/sympy.git | 1 | 23 | 0 | 9 | 41 | Python | {
"docstring": "\nis_prime is just a wrapper around sympy.ntheory.primetest.isprime so use that\ndirectly instead.\n ",
"language": "en",
"n_whitespaces": 18,
"n_words": 12,
"vocab_size": 12
} | def is_prime(n):
sympy_deprecation_warning(
,
deprecated_since_version="1.11",
active_deprecations_target='deprecated-carmichael-static-methods',
)
return isprime(n)
| |
56,186 | 221,074 | 16 | python3.10.4/Lib/base64.py | 12 | 7 | def standard_b64decode(s):
return b64decode(s)
_urlsafe_encode_tr | add python 3.10.4 for windows | standard_b64decode | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | base64.py | 7 | 2 | https://github.com/XX-net/XX-Net.git | 1 | 11 | 0 | 11 | 59 | Python | {
"docstring": "Decode bytes encoded with the standard Base64 alphabet.\n\n Argument s is a bytes-like object or ASCII string to decode. The result\n is returned as a bytes object. A binascii.Error is raised if the input\n is incorrectly padded. Characters that are not in the standard alphabet\n are di... | def standard_b64decode(s):
return b64decode(s)
_urlsafe_encode_translation = bytes.maketrans(b'+/', b'-_')
_urlsafe_decode_translation = bytes.maketrans(b'-_', b'+/')
| |
29,975 | 133,298 | 98 | python/ray/util/sgd/torch/examples/dcgan.py | 29 | 20 | def inception_score(self, imgs, batch_size=32, splits=1):
N = len(imgs)
dataloader = torch.utils.data.DataLoader(imgs, batch_size=batch_size)
up = nn.Upsample(
size=(28, 28),
mo | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | inception_score | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | dcgan.py | 12 | 25 | https://github.com/ray-project/ray.git | 4 | 236 | 0 | 27 | 105 | Python | {
"docstring": "Calculate the inception score of the generated images.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 7
} | def inception_score(self, imgs, batch_size=32, splits=1):
N = len(imgs)
dataloader = torch.utils.data.DataLoader(imgs, batch_size=batch_size)
up = nn.Upsample(
size=(28, 28),
mode="bilinear",
align_corners=False, # This is to reduce user warnings fro... | |
14,354 | 66,833 | 9 | erpnext/patches/v13_0/update_shipment_status.py | 17 | 5 | def execute():
frappe.reload_doc("stock", "doctype", "shipment")
# update submitted status
frappe.db.sql(
)
| style: format code with black | execute | 494bd9ef78313436f0424b918f200dab8fc7c20b | erpnext | update_shipment_status.py | 8 | 12 | https://github.com/frappe/erpnext.git | 1 | 30 | 0 | 12 | 60 | Python | {
"docstring": "UPDATE `tabShipment`\n\t\t\t\t\tSET status = \"Submitted\"\n\t\t\t\t\tWHERE status = \"Draft\" AND docstatus = 1UPDATE `tabShipment`\n\t\t\t\t\tSET status = \"Cancelled\"\n\t\t\t\t\tWHERE status = \"Draft\" AND docstatus = 2",
"language": "en",
"n_whitespaces": 22,
"n_words": 27,
"vocab_size":... | def execute():
frappe.reload_doc("stock", "doctype", "shipment")
# update submitted status
frappe.db.sql(
)
# update cancelled status
frappe.db.sql(
)
| |
50,753 | 204,496 | 26 | django/core/files/storage.py | 12 | 4 | def url(self, name):
raise NotImplementedError("subclasses of Storage must provide a url() method | Refs #33476 -- Reformatted code with Black. | url | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | storage.py | 8 | 2 | https://github.com/django/django.git | 1 | 13 | 0 | 12 | 25 | Python | {
"docstring": "\n Return an absolute URL where the file's contents can be accessed\n directly by a web browser.\n ",
"language": "en",
"n_whitespaces": 38,
"n_words": 16,
"vocab_size": 16
} | def url(self, name):
raise NotImplementedError("subclasses of Storage must provide a url() method")
| |
81,491 | 275,866 | 227 | keras/saving/hdf5_format.py | 57 | 10 | def load_attributes_from_hdf5_group(group, name):
if name in group. | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | load_attributes_from_hdf5_group | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | hdf5_format.py | 17 | 18 | https://github.com/keras-team/keras.git | 7 | 107 | 0 | 34 | 174 | Python | {
"docstring": "Loads attributes of the specified name from the HDF5 group.\n\n This method deals with an inherent problem\n of HDF5 file which is not able to store\n data larger than HDF5_OBJECT_HEADER_LIMIT bytes.\n\n Args:\n group: A pointer to a HDF5 group.\n name: A name of the attribut... | def load_attributes_from_hdf5_group(group, name):
if name in group.attrs:
data = [
n.decode("utf8") if hasattr(n, "decode") else n
for n in group.attrs[name]
]
else:
data = []
chunk_id = 0
while "%s%d" % (name, chunk_id) in group.attrs:
... | |
11,429 | 55,970 | 140 | src/prefect/orion/models/block_schemas.py | 21 | 6 | def _find_root_block_schema(block_schemas_with_references):
return next(
(
block_schema
for (
block_schema,
_,
parent_block_schema_id,
) in block_schemas_with_references
if parent_block_schema_ | Nested Block Schemas (PrefectHQ/orion#1846)
* Adds models and migration for block schema and block document references
* Adds customization to the generation of a block schema's fields
* Adds ability to reconstruct block schema fields on read
* Adds ability to reconstruct block schema when read by checksum
... | _find_root_block_schema | a05e44c89acf0b6073ac876479be24a5e51d7754 | prefect | block_schemas.py | 10 | 13 | https://github.com/PrefectHQ/prefect.git | 3 | 31 | 0 | 19 | 46 | Python | {
"docstring": "\n Attempts to find the root block schema from a list of block schemas\n with references. Returns None if a root block schema is not found.\n Returns only the first potential root block schema if multiple are found.\n ",
"language": "en",
"n_whitespaces": 50,
"n_words": 37,
"vocab_... | def _find_root_block_schema(block_schemas_with_references):
return next(
(
block_schema
for (
block_schema,
_,
parent_block_schema_id,
) in block_schemas_with_references
if parent_block_schema_id is None
... | |
4,866 | 25,203 | 465 | ppocr/modeling/heads/local_graph.py | 162 | 32 | def feature_embedding(input_feats, out_feat_len):
assert input_feats.ndim == 2
assert isinstance(out_feat_len, int)
assert out_feat_len >= input_feats.shape[1]
num_nodes = input_feats.shape[0]
feat_dim = input_feats.shape[1]
feat_repeat_times = out_feat_len // feat_dim
residue_dim = ou... | add drrg | feature_embedding | 1f9400dd7374ce9cc47981372e324ff412e53ba3 | PaddleOCR | local_graph.py | 20 | 41 | https://github.com/PaddlePaddle/PaddleOCR.git | 4 | 416 | 0 | 79 | 639 | Python | {
"docstring": "Embed features. This code was partially adapted from\n https://github.com/GXYM/DRRG licensed under the MIT license.\n\n Args:\n input_feats (ndarray): The input features of shape (N, d), where N is\n the number of nodes in graph, d is the input feature vector length.\n o... | def feature_embedding(input_feats, out_feat_len):
assert input_feats.ndim == 2
assert isinstance(out_feat_len, int)
assert out_feat_len >= input_feats.shape[1]
num_nodes = input_feats.shape[0]
feat_dim = input_feats.shape[1]
feat_repeat_times = out_feat_len // feat_dim
residue_dim = ou... | |
76,622 | 261,007 | 71 | sklearn/linear_model/_base.py | 29 | 18 | def decision_function(self, X):
check_is_fitted(self)
xp, _ = get_namespace(X)
X = s | ENH Adds Array API support to LinearDiscriminantAnalysis (#22554)
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> | decision_function | 2710a9e7eefd2088ce35fd2fb6651d5f97e5ef8b | scikit-learn | _base.py | 11 | 6 | https://github.com/scikit-learn/scikit-learn.git | 2 | 77 | 0 | 26 | 119 | Python | {
"docstring": "\n Predict confidence scores for samples.\n\n The confidence score for a sample is proportional to the signed\n distance of that sample to the hyperplane.\n\n Parameters\n ----------\n X : {array-like, sparse matrix} of shape (n_samples, n_features)\n ... | def decision_function(self, X):
check_is_fitted(self)
xp, _ = get_namespace(X)
X = self._validate_data(X, accept_sparse="csr", reset=False)
scores = safe_sparse_dot(X, self.coef_.T, dense_output=True) + self.intercept_
return xp.reshape(scores, -1) if scores.shape[1] ==... | |
54,671 | 216,630 | 63 | backend/postprocessing/rankings.py | 38 | 11 | def get_ranking(pairs):
if len(pairs) == 1:
return list( | ran pre-commit hook | get_ranking | 38ca08446d560797522b7828720032799584d32a | Open-Assistant | rankings.py | 11 | 6 | https://github.com/LAION-AI/Open-Assistant.git | 4 | 61 | 0 | 33 | 98 | Python | {
"docstring": "\n Abuses concordance property to get a (not necessarily unqiue) ranking.\n The lack of uniqueness is due to the potential existance of multiple\n equally ranked winners. We have to pick one, which is where\n the non-uniqueness comes from\n ",
"language": "en",
"n_whitespaces": 53,
... | def get_ranking(pairs):
if len(pairs) == 1:
return list(pairs[0])
w = get_winner(pairs)
# now remove the winner from the list of pairs
p_new = np.array([(a, b) for a, b in pairs if a != w])
return [w] + get_ranking(p_new)
| |
12,476 | 61,263 | 63 | .venv/lib/python3.8/site-packages/pip/_internal/utils/misc.py | 31 | 9 | def backup_dir(dir, ext=".bak"):
# type: (str, str) -> str
n = 1
extension = ext
while os.path.exists(dir + extension):
n += 1
extension = ext + str(n)
return dir + extens | upd; format | backup_dir | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | misc.py | 11 | 7 | https://github.com/jindongwang/transferlearning.git | 2 | 43 | 0 | 22 | 74 | Python | {
"docstring": "Figure out the name of a directory to back up the given dir to\n (adding .bak, .bak2, etc)",
"language": "en",
"n_whitespaces": 20,
"n_words": 18,
"vocab_size": 16
} | def backup_dir(dir, ext=".bak"):
# type: (str, str) -> str
n = 1
extension = ext
while os.path.exists(dir + extension):
n += 1
extension = ext + str(n)
return dir + extension
| |
32,051 | 140,580 | 147 | rllib/utils/filter_manager.py | 42 | 22 | def synchronize(local_filters, remotes, update_remote=True):
remote_filters = ray.get(
[r.get_filters.remote(flush_ | Clean up docstyle in python modules and add LINT rule (#25272) | synchronize | 905258dbc19753c81039f993477e7ab027960729 | ray | filter_manager.py | 12 | 11 | https://github.com/ray-project/ray.git | 7 | 107 | 0 | 30 | 164 | Python | {
"docstring": "Aggregates all filters from remote evaluators.\n\n Local copy is updated and then broadcasted to all remote evaluators.\n\n Args:\n local_filters: Filters to be synchronized.\n remotes: Remote evaluators with filters.\n update_remote: Whether to push upda... | def synchronize(local_filters, remotes, update_remote=True):
remote_filters = ray.get(
[r.get_filters.remote(flush_after=True) for r in remotes]
)
for rf in remote_filters:
for k in local_filters:
local_filters[k].apply_changes(rf[k], with_buffer=... | |
76,986 | 261,775 | 37 | sklearn/tests/test_base.py | 19 | 11 | def test_estimator_empty_instance_dict(estimator):
state = estimator.__getstate__()
expected = {"_sklearn_version": sklearn.__version__}
assert state == expected
# this should not raise
pickle.loads(pickle.dumps(BaseEstimator()))
| FIX fix pickling for empty object with Python 3.11+ (#25188)
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Python 3.11 introduces `__getstate__` on the `object` level, which breaks our existing `__getstate__` code for objects w/o any attributes. T... | test_estimator_empty_instance_dict | 9017c701833114a75903f580dd0772e1d8d7d125 | scikit-learn | test_base.py | 11 | 5 | https://github.com/scikit-learn/scikit-learn.git | 1 | 39 | 0 | 16 | 70 | Python | {
"docstring": "Check that ``__getstate__`` returns an empty ``dict`` with an empty\n instance.\n\n Python 3.11+ changed behaviour by returning ``None`` instead of raising an\n ``AttributeError``. Non-regression test for gh-25188.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 27,
"vocab_s... | def test_estimator_empty_instance_dict(estimator):
state = estimator.__getstate__()
expected = {"_sklearn_version": sklearn.__version__}
assert state == expected
# this should not raise
pickle.loads(pickle.dumps(BaseEstimator()))
| |
16,740 | 78,234 | 42 | wagtail/admin/tests/test_templatetags.py | 13 | 9 | def test_with_variables(self):
context = Context({"name": "j | Introduce new template fragment composition tags | test_with_variables | 524cab82e33b43463b746c3df1a80657b3ae874a | wagtail | test_templatetags.py | 11 | 15 | https://github.com/wagtail/wagtail.git | 1 | 37 | 0 | 11 | 68 | Python | {
"docstring": "\n {% load wagtailadmin_tags %}\n {% fragment as my_fragment %}\n <p>Hello, {{ name|title }}</p>\n {% endfragment %}\n Text coming after:\n {{ my_fragment }}\n \n Text coming after:\n <p>Hello, Jonathan ... | def test_with_variables(self):
context = Context({"name": "jonathan wells"})
template =
expected =
self.assertHTMLEqual(expected, Template(template).render(context))
| |
78,390 | 266,422 | 122 | lib/ansible/executor/module_common.py | 54 | 15 | def _extract_interpreter(b_module_data):
interpreter = None
args = []
b_lines = b_module_data.split(b"\n", 1)
if b_lines[0].startswith(b"#!"):
b_shebang = b_lines[0].strip()
# shlex.split on python-2.6 needs bytes. On python-3.x it needs text
cli_split = | Allow specifying specific python via shebang (#76677)
modules with python were always normalized to /usr/bin/python,
while other interpreters could have specific versions.
* now shebang is always constructed by get_shebang and args are preserved
* only update shebang if interpreter changed
* updated test e... | _extract_interpreter | 9142be2f6cabbe6597c9254c5bb9186d17036d55 | ansible | module_common.py | 14 | 11 | https://github.com/ansible/ansible.git | 3 | 98 | 0 | 39 | 162 | Python | {
"docstring": "\n Used to extract shebang expression from binary module data and return a text\n string with the shebang, or None if no shebang is detected.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 24,
"vocab_size": 23
} | def _extract_interpreter(b_module_data):
interpreter = None
args = []
b_lines = b_module_data.split(b"\n", 1)
if b_lines[0].startswith(b"#!"):
b_shebang = b_lines[0].strip()
# shlex.split on python-2.6 needs bytes. On python-3.x it needs text
cli_split = shlex.split(to_na... | |
28,198 | 126,557 | 72 | python/ray/tune/tests/test_tune_restore.py | 26 | 9 | def test_resource_exhausted_info(self): | [tune] Fix test_resource_exhausted_info test (#27426)
#27213 broke this test
Signed-off-by: Kai Fricke <kai@anyscale.com> | test_resource_exhausted_info | 46ed3557ba6b4f4f72c15ef960aba5270ada2a9c | ray | test_tune_restore.py | 11 | 11 | https://github.com/ray-project/ray.git | 2 | 51 | 0 | 25 | 56 | Python | {
"docstring": "This is to test if helpful information is displayed when\n the objects captured in trainable/training function are too\n large and RESOURCES_EXHAUSTED error of gRPC is triggered.",
"language": "en",
"n_whitespaces": 39,
"n_words": 26,
"vocab_size": 24
} | def test_resource_exhausted_info(self):
# generate some random data to be captured implicitly in training func.
from sklearn.datasets import fetch_olivetti_faces
a_large_array = []
for i in range(50):
a_large_array.append(fetch_olivetti_faces())
| |
11,268 | 55,193 | 394 | tests/conftest.py | 77 | 22 | def testing_session_settings():
with tempfile.TemporaryDirectory() as tmpdir:
profile = prefect.settings.Profile(
name="test-session",
settings={
# Set PREFECT_HOME to a temporary directory to avoid clobbering
# environments and settings
... | Squash issues with tests | testing_session_settings | 4adc737611ffa284d9952779ba2f68174a7e73cc | prefect | conftest.py | 14 | 21 | https://github.com/PrefectHQ/prefect.git | 1 | 87 | 0 | 62 | 146 | Python | {
"docstring": "\n Creates a fixture for the scope of the test session that modifies setting defaults.\n\n This ensures that tests are isolated from existing settings, databases, etc.\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 25,
"vocab_size": 23
} | def testing_session_settings():
with tempfile.TemporaryDirectory() as tmpdir:
profile = prefect.settings.Profile(
name="test-session",
settings={
# Set PREFECT_HOME to a temporary directory to avoid clobbering
# environments and settings
... | |
34,592 | 149,925 | 25 | tests/strategy/strats/hyperoptable_strategy.py | 11 | 7 | def bot_start(self, **kwargs) -> None:
self.buy_rsi = | Enhance hyperoptable strategy to test instance parameters | bot_start | 5bf021be2e8f1479753e66573575fa7cde00a2b6 | freqtrade | hyperoptable_strategy.py | 10 | 5 | https://github.com/freqtrade/freqtrade.git | 1 | 31 | 0 | 11 | 50 | Python | {
"docstring": "\n Parameters can also be defined here ...\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 7,
"vocab_size": 7
} | def bot_start(self, **kwargs) -> None:
self.buy_rsi = IntParameter([0, 50], default=30, space='buy')
| |
50,864 | 204,736 | 33 | django/core/serializers/base.py | 8 | 5 | def getvalue(self):
if callable(getattr(self.stream, "getvalue", None)):
return self.stream.getvalue()
| Refs #33476 -- Reformatted code with Black. | getvalue | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | base.py | 10 | 3 | https://github.com/django/django.git | 2 | 29 | 0 | 8 | 50 | Python | {
"docstring": "\n Return the fully serialized queryset (or None if the output stream is\n not seekable).\n ",
"language": "en",
"n_whitespaces": 36,
"n_words": 14,
"vocab_size": 13
} | def getvalue(self):
if callable(getattr(self.stream, "getvalue", None)):
return self.stream.getvalue()
| |
22,470 | 106,845 | 450 | py/visdom/__init__.py | 106 | 24 | def boxplot(self, X, win=None, env=None, opts=None):
X = np.squeeze(X)
assert X.ndim == 1 or X.ndim == 2, "X should be one or two-dimensional"
if X.ndim == 1:
X = X[:, None]
opts = {} if opts is None else opts
_title2str(opts)
_assert_opts(opts)
... | apply black py to all python files | boxplot | 5b8b7f267cfaf76a2a39a727ef31a62b3909a093 | visdom | __init__.py | 14 | 32 | https://github.com/fossasia/visdom.git | 7 | 215 | 0 | 82 | 357 | Python | {
"docstring": "\n This function draws boxplots of the specified data. It takes as input\n an `N` or an `NxM` tensor `X` that specifies the `N` data values of\n which to construct the `M` boxplots.\n\n The following plot-specific `opts` are currently supported:\n - `opts.legend`: la... | def boxplot(self, X, win=None, env=None, opts=None):
X = np.squeeze(X)
assert X.ndim == 1 or X.ndim == 2, "X should be one or two-dimensional"
if X.ndim == 1:
X = X[:, None]
opts = {} if opts is None else opts
_title2str(opts)
_assert_opts(opts)
... | |
50,282 | 203,275 | 248 | tests/requests/tests.py | 65 | 12 | def test_body_after_POST_multipart_related(self):
# Ticket #9054
# There are cases in which the multipart data is related instead of
# being a binary upload, in which case it should still be accessible
# via body.
payload_data = b"\r\n".join([
b'--boundary',
... | Refs #33476 -- Refactored problematic code before reformatting by Black.
In these cases Black produces unexpected results, e.g.
def make_random_password(
self,
length=10,
allowed_chars='abcdefghjkmnpqrstuvwxyz' 'ABCDEFGHJKLMNPQRSTUVWXYZ' '23456789',
):
or
cursor.execute("""
SELECT ...
""",
... | test_body_after_POST_multipart_related | c5cd8783825b5f6384417dac5f3889b4210b7d08 | django | tests.py | 12 | 17 | https://github.com/django/django.git | 1 | 83 | 0 | 58 | 146 | Python | {
"docstring": "\n Reading body after parsing multipart that isn't form-data is allowed\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 10
} | def test_body_after_POST_multipart_related(self):
# Ticket #9054
# There are cases in which the multipart data is related instead of
# being a binary upload, in which case it should still be accessible
# via body.
payload_data = b"\r\n".join([
b'--boundary',
... | |
8,978 | 46,739 | 172 | airflow/providers/arangodb/hooks/arangodb.py | 39 | 13 | def query(self, query, **kwargs) -> Result:
try:
if self.db_conn:
result = self.db_conn.aql.execute(query, **kwargs)
return result
else:
raise AirflowException(
f"Failed to execute AQLQuery, error connecting to ... | Adding ArangoDB Provider (#22548)
* Adding ArangoDB Provider | query | c758c76ac336c054fd17d4b878378aa893b7a979 | airflow | arangodb.py | 15 | 18 | https://github.com/apache/airflow.git | 3 | 56 | 0 | 31 | 109 | Python | {
"docstring": "\n Function to create a arangodb session\n and execute the AQL query in the session.\n\n :param query: AQL query\n :return: Result\n ",
"language": "en",
"n_whitespaces": 56,
"n_words": 20,
"vocab_size": 17
} | def query(self, query, **kwargs) -> Result:
try:
if self.db_conn:
result = self.db_conn.aql.execute(query, **kwargs)
return result
else:
raise AirflowException(
f"Failed to execute AQLQuery, error connecting to ... | |
75,968 | 259,883 | 192 | sklearn/datasets/tests/test_arff_parser.py | 64 | 14 | def test_post_process_frame(feature_names, target_names):
pd = pytest.importorskip("pandas")
X_original = pd.DataFrame(
{
"col_int_as_integer": [1, 2, 3],
"col_int_as_numeric": [1, 2, 3],
"col_float_as_real": [1.0, 2.0, 3.0],
"col_float_as_numeric": ... | ENH improve ARFF parser using pandas (#21938)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@gmail.com>
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com> | test_post_process_frame | a47d569e670fd4102af37c3165c9b1ddf6fd3005 | scikit-learn | test_arff_parser.py | 12 | 20 | https://github.com/scikit-learn/scikit-learn.git | 3 | 158 | 0 | 46 | 233 | Python | {
"docstring": "Check the behaviour of the post-processing function for splitting a dataframe.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | def test_post_process_frame(feature_names, target_names):
pd = pytest.importorskip("pandas")
X_original = pd.DataFrame(
{
"col_int_as_integer": [1, 2, 3],
"col_int_as_numeric": [1, 2, 3],
"col_float_as_real": [1.0, 2.0, 3.0],
"col_float_as_numeric": ... | |
51,718 | 206,806 | 222 | django/views/debug.py | 64 | 19 | def cleanse_setting(self, key, value):
try:
is_sensitive = self.hidden_settings.search(key)
except TypeError:
is_sensitive = False
if is_sensitive:
cleansed = self.cleansed_substitute
elif isinstance(value, dict):
cleansed = {k: s... | Refs #33476 -- Reformatted code with Black. | cleanse_setting | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | debug.py | 15 | 18 | https://github.com/django/django.git | 10 | 138 | 0 | 37 | 219 | Python | {
"docstring": "\n Cleanse an individual setting key/value of sensitive content. If the\n value is a dictionary, recursively cleanse the keys in that dictionary.\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 21,
"vocab_size": 20
} | def cleanse_setting(self, key, value):
try:
is_sensitive = self.hidden_settings.search(key)
except TypeError:
is_sensitive = False
if is_sensitive:
cleansed = self.cleansed_substitute
elif isinstance(value, dict):
cleansed = {k: s... | |
81,751 | 276,840 | 105 | keras/utils/generic_utils.py | 42 | 20 | def func_dump(func):
if os.name == "nt":
raw_code = marshal.dumps(func.__code__).replace(b"\\", b"/")
code = codecs.encode(raw_code, "base64").decode("ascii")
else:
raw_code = marshal.dumps(func.__code__)
code = codecs.encode(raw_ | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | func_dump | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | generic_utils.py | 14 | 13 | https://github.com/keras-team/keras.git | 4 | 109 | 0 | 28 | 185 | Python | {
"docstring": "Serializes a user defined function.\n\n Args:\n func: the function to serialize.\n\n Returns:\n A tuple `(code, defaults, closure)`.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 17,
"vocab_size": 17
} | def func_dump(func):
if os.name == "nt":
raw_code = marshal.dumps(func.__code__).replace(b"\\", b"/")
code = codecs.encode(raw_code, "base64").decode("ascii")
else:
raw_code = marshal.dumps(func.__code__)
code = codecs.encode(raw_code, "base64").decode("ascii")
defaults ... | |
47,486 | 195,948 | 56 | sympy/polys/polyclasses.py | 13 | 7 | def cauchy_upper_bound(f):
if not f.lev:
| Add new methods to `DMP` class, corresp. to new funcs. | cauchy_upper_bound | d032a7a870672667f778be8bf02a3eba4ae89381 | sympy | polyclasses.py | 11 | 5 | https://github.com/sympy/sympy.git | 2 | 30 | 0 | 13 | 53 | Python | {
"docstring": "Computes the Cauchy upper bound on the roots of ``f``. ",
"language": "en",
"n_whitespaces": 10,
"n_words": 10,
"vocab_size": 9
} | def cauchy_upper_bound(f):
if not f.lev:
return dup_cauchy_upper_bound(f.rep, f.dom)
else:
raise ValueError('univariate polynomial expected')
| |
48,459 | 197,316 | 868 | sympy/core/sympify.py | 288 | 29 | def kernS(s):
hit = False
quoted = '"' in s or "'" in s
if '(' in s and not quoted:
if s.count('(') != s.count(")"):
raise SympifyError('unmatched left parenthesis')
# strip all space from s
s = ''.join(s.split())
olds = s
# now use space to represen... | Remove abbreviations in documentation | kernS | 65be461082dda54c8748922f9c29a19af1279fe1 | sympy | sympify.py | 16 | 53 | https://github.com/sympy/sympy.git | 17 | 307 | 0 | 166 | 535 | Python | {
"docstring": "Use a hack to try keep autosimplification from distributing a\n a number into an Add; this modification does not\n prevent the 2-arg Mul from becoming an Add, however.\n\n Examples\n ========\n\n >>> from sympy.core.sympify import kernS\n >>> from sympy.abc import x, y\n\n The 2-a... | def kernS(s):
hit = False
quoted = '"' in s or "'" in s
if '(' in s and not quoted:
if s.count('(') != s.count(")"):
raise SympifyError('unmatched left parenthesis')
# strip all space from s
s = ''.join(s.split())
olds = s
# now use space to represen... | |
117,007 | 319,856 | 56 | src/documents/tests/test_classifier.py | 17 | 11 | def test_load_corrupt_file(self, patched_pickle_load):
# First load is the schema version
p | Updates the classifier to catch warnings from scikit-learn and rebuild the model file when this happens | test_load_corrupt_file | 77fbbe95ffb965525136982846f50e3ad8244de9 | paperless-ngx | test_classifier.py | 10 | 4 | https://github.com/paperless-ngx/paperless-ngx.git | 1 | 36 | 0 | 17 | 63 | Python | {
"docstring": "\n GIVEN:\n - Corrupted classifier pickle file\n WHEN:\n - An attempt is made to load the classifier\n THEN:\n - The ClassifierModelCorruptError is raised\n ",
"language": "en",
"n_whitespaces": 84,
"n_words": 22,
"vocab_size": 18
} | def test_load_corrupt_file(self, patched_pickle_load):
# First load is the schema version
patched_pickle_load.side_effect = [DocumentClassifier.FORMAT_VERSION, OSError()]
with self.assertRaises(ClassifierModelCorruptError):
self.classifier.load()
| |
86,883 | 287,694 | 20 | homeassistant/components/plugwise/select.py | 6 | 6 | def current_option(self) -> str:
return self.device[self.entity_description.current_option_key]
| Rename property in Plugwise EntityDescription (#78935) | current_option | 5c7d40cccf473c3549900949fe410dbe9d2e1a19 | core | select.py | 8 | 3 | https://github.com/home-assistant/core.git | 1 | 19 | 0 | 6 | 32 | Python | {
"docstring": "Return the selected entity option to represent the entity state.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 8
} | def current_option(self) -> str:
return self.device[self.entity_description.current_option_key]
| |
4,771 | 24,604 | 172 | ppstructure/table/convert_label2html.py | 63 | 18 | def gen_html(img):
html_code = img['html']['structure']['tokens'].copy()
to_insert = [i for i, tag in enumerate(html_code) if tag in ('<td>', '>')]
for i, cell in zip(to_insert[::-1], img['html']['cells'][::-1]):
if cell['tokens']:
text = ''.join(cell['tokens'])
# skip e... | add copyright | gen_html | 97f7f748085fbe516952d36808735902d305da40 | PaddleOCR | convert_label2html.py | 14 | 14 | https://github.com/PaddlePaddle/PaddleOCR.git | 6 | 149 | 0 | 46 | 265 | Python | {
"docstring": " \n Formats HTML code from tokenized annotation of img\n ",
"language": "en",
"n_whitespaces": 16,
"n_words": 8,
"vocab_size": 8
} | def gen_html(img):
html_code = img['html']['structure']['tokens'].copy()
to_insert = [i for i, tag in enumerate(html_code) if tag in ('<td>', '>')]
for i, cell in zip(to_insert[::-1], img['html']['cells'][::-1]):
if cell['tokens']:
text = ''.join(cell['tokens'])
# skip e... | |
44,978 | 185,332 | 35 | src/textual/events.py | 10 | 8 | def key_aliases(self) -> Iterable[str]:
for alias in _get_key_aliases(self.key):
yi | Move aliasing/normalisation logic into Key | key_aliases | bd3a723d86f9c550b0324153975580b70509cb22 | textual | events.py | 10 | 4 | https://github.com/Textualize/textual.git | 2 | 26 | 0 | 10 | 44 | Python | {
"docstring": "Get the aliases for the key, including the key itself",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 8
} | def key_aliases(self) -> Iterable[str]:
for alias in _get_key_aliases(self.key):
yield _normalize_key(alias)
| |
78,141 | 265,561 | 227 | netbox/ipam/tests/test_api.py | 69 | 30 | def test_create_single_available_ip(self):
vrf = VRF.objects.create(name='VRF 1')
prefix = Prefix.objects.create(prefix=IPNetwork('192.0.2.0/30'), vrf=vrf, is_pool=True)
u | Closes #10031: Enforce 'application/json' content type for REST API requests | test_create_single_available_ip | bfbf97aec9119539f7f42cf16f52d0ca8203ba60 | netbox | test_api.py | 13 | 16 | https://github.com/netbox-community/netbox.git | 2 | 194 | 0 | 57 | 323 | Python | {
"docstring": "\n Test retrieval of the first available IP address within a parent prefix.\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 12,
"vocab_size": 12
} | def test_create_single_available_ip(self):
vrf = VRF.objects.create(name='VRF 1')
prefix = Prefix.objects.create(prefix=IPNetwork('192.0.2.0/30'), vrf=vrf, is_pool=True)
url = reverse('ipam-api:prefix-available-ips', kwargs={'pk': prefix.pk})
self.add_permissions('ipam.view_pref... | |
@pytest.fixture(name="climate_adc_t3000_missing_mode") | 91,775 | 292,702 | 105 | tests/components/zwave_js/conftest.py | 38 | 17 | def climate_adc_t3000_missing_setpoint_fixture(client, climate_adc_t3000_state):
data = copy.deepcopy(climate_adc_t3000_state)
data["name"] = f"{data['name']} missing setpoint"
for value in data["values"][:]:
if (
value["commandClassName"] == "Humidity Control Setpoint"
... | Add Humidifier support to zwave_js (#65847) | climate_adc_t3000_missing_setpoint_fixture | 87593fa3ec4edd1fb467ed0709ef57c3c41e0fc4 | core | conftest.py | 13 | 12 | https://github.com/home-assistant/core.git | 4 | 84 | 1 | 32 | 171 | Python | {
"docstring": "Mock a climate ADC-T3000 node with missing de-humidify setpoint.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | def climate_adc_t3000_missing_setpoint_fixture(client, climate_adc_t3000_state):
data = copy.deepcopy(climate_adc_t3000_state)
data["name"] = f"{data['name']} missing setpoint"
for value in data["values"][:]:
if (
value["commandClassName"] == "Humidity Control Setpoint"
... |
r"""
Returns a tuple of possible :py:meth:`~sympy.solvers.ode.dsolve`
classifications for an ODE.
The tuple is ordered so that first item is the classification that
:py:meth:`~sympy.solvers.ode.dsolve` uses to solve the ODE by default. In
general, classifications at the near the beginning of ... | 49,006 | 198,577 | 14 | sympy/solvers/ode/ode.py | 12 | 106 | def classify_ode(eq, func=None, dict=False, ics=None, *, prep=True, xi=None, eta=None, n=None, **kwargs):
r | Allow initial conditions of the form f(0): f(0) in dsolve
There was a check that the replacement value does not contain f, but this
makes perfect sense. The check was changed to checking that the value doesn't
contain x.
Fixes #23702 | classify_ode | 32589850ff6a970bee8af3034980e37932db2eb9 | sympy | ode.py | 10 | 270 | https://github.com/sympy/sympy.git | 66 | 1,582 | 28 | 12 | 439 | Python | {
"docstring": "\n Returns a tuple of possible :py:meth:`~sympy.solvers.ode.dsolve`\n classifications for an ODE.\n\n The tuple is ordered so that first item is the classification that\n :py:meth:`~sympy.solvers.ode.dsolve` uses to solve the ODE by default. In\n general, classifications at the near th... | def classify_ode(eq, func=None, dict=False, ics=None, *, prep=True, xi=None, eta=None, n=None, **kwargs):
r |
69,724 | 241,885 | 259 | scipy/stats/_stats_py.py | 108 | 35 | def mode(a, axis=0, nan_policy='propagate'):
a, axis = _chk_asarray(a, axis)
if a.size == 0:
return ModeResult(np.array([]), np.array([]))
contains_nan, nan_policy = _contains_nan(a, nan_policy)
if contains_nan and nan_policy == 'omit':
a = ma.masked_invalid(a)
return msta... | MAINT: stats: mode: fix negative axis issue with np.moveaxis instead of custom code (#15421) | mode | 7438fe5edfb565ff341fa6ab054461fcdd504aa2 | scipy | _stats_py.py | 13 | 31 | https://github.com/scipy/scipy.git | 8 | 340 | 0 | 78 | 336 | Python | {
"docstring": "Return an array of the modal (most common) value in the passed array.\n\n If there is more than one such value, only the smallest is returned.\n The bin-count for the modal bins is also returned.\n\n Parameters\n ----------\n a : array_like\n n-dimensional array of which to find ... | def mode(a, axis=0, nan_policy='propagate'):
a, axis = _chk_asarray(a, axis)
if a.size == 0:
return ModeResult(np.array([]), np.array([]))
contains_nan, nan_policy = _contains_nan(a, nan_policy)
if contains_nan and nan_policy == 'omit':
a = ma.masked_invalid(a)
return msta... | |
79,298 | 268,024 | 38 | test/lib/ansible_test/_internal/host_profiles.py | 10 | 6 | def wait_for_instance(self) -> AnsibleCoreCI:
core_ci = self.get_instance()
cor | ansible-test - Use more native type hints. (#78435)
* ansible-test - Use more native type hints.
Simple search and replace to switch from comments to native type hints for return types of functions with no arguments.
* ansible-test - Use more native type hints.
Conversion of simple single-line function annota... | wait_for_instance | 3eb0485dd92c88cc92152d3656d94492db44b183 | ansible | host_profiles.py | 8 | 5 | https://github.com/ansible/ansible.git | 1 | 22 | 0 | 9 | 40 | Python | {
"docstring": "Wait for an AnsibleCoreCI VM instance to become ready.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | def wait_for_instance(self) -> AnsibleCoreCI:
core_ci = self.get_instance()
core_ci.wait()
return core_ci
| |
49,306 | 199,635 | 90 | sympy/polys/orthopolys.py | 41 | 16 | def spherical_bessel_fn(n, x=None, polys=False):
if n < 0:
dup = dup_spherical_bessel_fn_minus(-int(n), ZZ)
else:
dup = dup_spherical_bessel_fn(int(n), ZZ)
poly = DMP(dup, ZZ)
if x is not None:
poly = Poly.new(poly, 1/x)
else:
poly = PurePoly.new(poly, 1/Dummy... | Link Appell sequences to corresponding continuous functions | spherical_bessel_fn | c6be089c27dd1891d4e273e7701926f7e5cf4d6f | sympy | orthopolys.py | 15 | 11 | https://github.com/sympy/sympy.git | 4 | 97 | 0 | 28 | 154 | Python | {
"docstring": "\n Coefficients for the spherical Bessel functions.\n\n Those are only needed in the jn() function.\n\n The coefficients are calculated from:\n\n fn(0, z) = 1/z\n fn(1, z) = 1/z**2\n fn(n-1, z) + fn(n+1, z) == (2*n+1)/z * fn(n, z)\n\n Parameters\n ==========\n\n n : int\n ... | def spherical_bessel_fn(n, x=None, polys=False):
if n < 0:
dup = dup_spherical_bessel_fn_minus(-int(n), ZZ)
else:
dup = dup_spherical_bessel_fn(int(n), ZZ)
poly = DMP(dup, ZZ)
if x is not None:
poly = Poly.new(poly, 1/x)
else:
poly = PurePoly.new(poly, 1/Dummy... | |
46,857 | 192,158 | 263 | torchvision/models/optical_flow/raft.py | 65 | 25 | def raft_large(*, pretrained=False, progress=True, **kwargs):
return _raft(
arch="raft_large",
pretrained=pretrained,
progress=progress,
# Feature encoder
feature_encoder_layers=(64, 64, 96, 128, 256),
feature_encoder_block=ResidualBlock,
feature_encoder... | Change default weights of RAFT model builders (#5381)
* Change default weights of RAFT model builders
* update handle_legacy_interface input
* Oops, wrong default | raft_large | 97eddc5d6a83a9bf620070075ef1e1864c9a68ac | vision | raft.py | 10 | 23 | https://github.com/pytorch/vision.git | 1 | 152 | 0 | 52 | 205 | Python | {
"docstring": "RAFT model from\n `RAFT: Recurrent All Pairs Field Transforms for Optical Flow <https://arxiv.org/abs/2003.12039>`_.\n\n Args:\n pretrained (bool): Whether to use weights that have been pre-trained on\n :class:`~torchvsion.datasets.FlyingChairs` + :class:`~torchvsion.datasets.F... | def raft_large(*, pretrained=False, progress=True, **kwargs):
return _raft(
arch="raft_large",
pretrained=pretrained,
progress=progress,
# Feature encoder
feature_encoder_layers=(64, 64, 96, 128, 256),
feature_encoder_block=ResidualBlock,
feature_encoder... | |
2,034 | 11,433 | 408 | jina/hubble/hubio.py | 66 | 22 | def _get_prettyprint_usage(self, console, executor_name, usage_kind=None):
from rich.panel import Panel
from rich.syntax import Syntax
flow_plain = f
flow_docker = f
flow_sandbox = f
panels = [
Panel(
Syntax(
p[0],
... | feat: add sandbox after push (#4349) | _get_prettyprint_usage | c07f3c151d985b207af87ccc9115bc94c3164e55 | jina | hubio.py | 13 | 39 | https://github.com/jina-ai/jina.git | 4 | 141 | 0 | 51 | 231 | Python | {
"docstring": "from jina import Flow\n\nf = Flow().add(uses='jinahub://{executor_name}')\nfrom jina import Flow\n\nf = Flow().add(uses='jinahub+docker://{executor_name}')\nfrom jina import Flow\n\nf = Flow().add(uses='jinahub+sandbox://{executor_name}')\n",
"language": "en",
"n_whitespaces": 15,
"n_words": 21,... | def _get_prettyprint_usage(self, console, executor_name, usage_kind=None):
from rich.panel import Panel
from rich.syntax import Syntax
flow_plain = f
flow_docker = f
flow_sandbox = f
panels = [
Panel(
Syntax(
p[0],
... | |
51,352 | 206,070 | 66 | django/http/request.py | 16 | 7 | def encoding(self, val):
self._encoding = val
if hasattr(self, "GET"):
del self.GET
if hasattr(self, "_post"):
del self._p | Refs #33476 -- Reformatted code with Black. | encoding | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | django | request.py | 8 | 6 | https://github.com/django/django.git | 3 | 37 | 0 | 13 | 63 | Python | {
"docstring": "\n Set the encoding used for GET/POST accesses. If the GET or POST\n dictionary has already been created, remove and recreate it on the\n next access (so that it is decoded correctly).\n ",
"language": "en",
"n_whitespaces": 60,
"n_words": 31,
"vocab_size": 28
} | def encoding(self, val):
self._encoding = val
if hasattr(self, "GET"):
del self.GET
if hasattr(self, "_post"):
del self._post
| |
46,052 | 189,432 | 197 | manim/mobject/geometry.py | 44 | 15 | def scale(self, factor, scale_tips=False, **kwargs):
r
if self.get_length() == 0:
return self
if scale_tips:
super().scale(factor, **kwargs)
self._set_stroke_width_from_length()
return self
has_tip = self.has_tip()
has_start_tip =... | Hide more private methods from the docs. (#2468)
* hide privs from text_mobject.py
* hide privs from tex_mobject.py
* hide privs from code_mobject.py
* hide privs from svg_mobject.py
* remove SVGPath and utils from __init__.py
* don't import string_to_numbers
* hide privs from geometry.py
* hide p... | scale | 902e7eb4f0147b5882a613b67467e38a1d47f01e | manim | geometry.py | 11 | 45 | https://github.com/ManimCommunity/manim.git | 7 | 124 | 0 | 29 | 200 | Python | {
"docstring": "Scale an arrow, but keep stroke width and arrow tip size fixed.\n\n See Also\n --------\n :meth:`~.Mobject.scale`\n\n Examples\n --------\n ::\n\n >>> arrow = Arrow(np.array([-1, -1, 0]), np.array([1, 1, 0]), buff=0)\n >>> scaled_arrow = ... | def scale(self, factor, scale_tips=False, **kwargs):
r
if self.get_length() == 0:
return self
if scale_tips:
super().scale(factor, **kwargs)
self._set_stroke_width_from_length()
return self
has_tip = self.has_tip()
has_start_tip =... | |
56,213 | 221,110 | 604 | python3.10.4/Lib/bdb.py | 151 | 17 | def effective(file, line, frame):
possibles = Breakpoint.bplist[file, line]
for b in possibles:
if not b.enabled:
continue
if not checkfuncname(b, frame):
continue
# Count every hit when bp is enabled
b.hits += 1
if not b.cond:
# I... | add python 3.10.4 for windows | effective | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | bdb.py | 18 | 25 | https://github.com/XX-net/XX-Net.git | 9 | 131 | 0 | 96 | 217 | Python | {
"docstring": "Determine which breakpoint for this file:line is to be acted upon.\n\n Called only if we know there is a breakpoint at this location. Return\n the breakpoint that was triggered and a boolean that indicates if it is\n ok to delete a temporary breakpoint. Return (None, None) if there is no\n ... | def effective(file, line, frame):
possibles = Breakpoint.bplist[file, line]
for b in possibles:
if not b.enabled:
continue
if not checkfuncname(b, frame):
continue
# Count every hit when bp is enabled
b.hits += 1
if not b.cond:
# I... | |
@_wraps(osp_stats.truncnorm.logpdf, update_doc=False) | 27,169 | 122,380 | 234 | jax/_src/scipy/stats/truncnorm.py | 172 | 23 | def _log_gauss_mass(a, b):
a, b = jnp.array(a), jnp.array(b)
a, b = jnp.broadcast_arrays(a, b)
# Note: Docstring carried over from scipy
# Calculations in right tail are inaccurate, so we'll exploit the
# symmetry and work only in the left tail
case_left = b <= 0
case_right = a > 0
ca | implement truncnorm in jax.scipy.stats
fix some shape and type issues
import into namespace
imports into non-_src library
working logpdf test
cleanup
working tests for cdf and sf after fixing select
relax need for x to be in (a, b)
ensure behavior with invalid input matches scipy
remove enforcing valid paramet... | _log_gauss_mass | 5784d61048facfa9dac1f1d309bde2d60a32810c | jax | truncnorm.py | 13 | 14 | https://github.com/google/jax.git | 1 | 100 | 1 | 115 | 271 | Python | {
"docstring": "Log of Gaussian probability mass within an interval",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | def _log_gauss_mass(a, b):
a, b = jnp.array(a), jnp.array(b)
a, b = jnp.broadcast_arrays(a, b)
# Note: Docstring carried over from scipy
# Calculations in right tail are inaccurate, so we'll exploit the
# symmetry and work only in the left tail
case_left = b <= 0
case_right = a > 0
case_central = ~(... |
@RunIf(min_gpus=2) | 69,683 | 241,753 | 763 | tests/trainer/logging_/test_logger_connector.py | 249 | 30 | def test_fx_validator_integration(tmpdir):
not_supported = {
None: "`self.trainer` reference is not registered",
"on_before_accelerator_backend_setup": "You can't",
"setup": "You can't",
"configure_sharded_model": "You can't",
"on_configure_sharded_model": "You can't",
... | Add `LightningModule.lr_scheduler_step` (#10249)
Co-authored-by: Carlos Mocholi <carlossmocholi@gmail.com> | test_fx_validator_integration | 82c8875f33addb0becd7761c95e9674ccc98c7ee | lightning | test_logger_connector.py | 11 | 72 | https://github.com/Lightning-AI/lightning.git | 2 | 322 | 1 | 106 | 644 | Python | {
"docstring": "Tries to log inside all `LightningModule` and `Callback` hooks to check any expected errors.",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 13
} | def test_fx_validator_integration(tmpdir):
not_supported = {
None: "`self.trainer` reference is not registered",
"on_before_accelerator_backend_setup": "You can't",
"setup": "You can't",
"configure_sharded_model": "You can't",
"on_configure_sharded_model": "You can't",
... |
43,741 | 182,049 | 32 | src/textual/drivers/win32.py | 17 | 10 | def enable_application_mode() -> Callable[[], None]:
terminal_in = sys.stdin
terminal_out = sys.stdout
current_console_mode_in = _get_console_mode(terminal_in)
current_console_m | working windows driver | enable_application_mode | 988838a872d2c7af6a1113546ace4f15b74a3254 | textual | win32.py | 8 | 16 | https://github.com/Textualize/textual.git | 1 | 53 | 0 | 14 | 59 | Python | {
"docstring": "Enable application mode.\n\n Returns:\n Callable[[], None]: A callable that will restore terminal to previous state.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 15,
"vocab_size": 15
} | def enable_application_mode() -> Callable[[], None]:
terminal_in = sys.stdin
terminal_out = sys.stdout
current_console_mode_in = _get_console_mode(terminal_in)
current_console_mode_out = _get_console_mode(terminal_out)
| |
78,616 | 266,836 | 53 | lib/ansible/utils/_junit_xml.py | 10 | 7 | def get_attributes(self) -> dict[str, str]:
| Simplify existing type hints. | get_attributes | 871b2ca73adcba3a35551247cf839246cf121231 | ansible | _junit_xml.py | 9 | 6 | https://github.com/ansible/ansible.git | 1 | 29 | 0 | 10 | 45 | Python | {
"docstring": "Return a dictionary of attributes for this instance.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | def get_attributes(self) -> dict[str, str]:
return _attributes(
message=self.message,
type=self.type,
)
| |
34,289 | 148,549 | 695 | freqtrade/freqtradebot.py | 125 | 41 | def check_handle_timedout(self) -> None:
for trade in Trade.get_open_order_trades():
try:
if not trade.open_order_id:
continue
order = self.exchange.fetch_order(trade.open_order_id, trade.pair)
except (ExchangeError):
... | Extract timeout handling from freqtradebot class | check_handle_timedout | 7bef9a9b3ec8593dac0701e7c5f8df6d77b5d4e0 | freqtrade | freqtradebot.py | 21 | 38 | https://github.com/freqtrade/freqtrade.git | 17 | 283 | 0 | 82 | 483 | Python | {
"docstring": "\n Check if any orders are timed out and cancel if necessary\n :param timeoutvalue: Number of minutes until order is considered timed out\n :return: None\n ",
"language": "en",
"n_whitespaces": 53,
"n_words": 24,
"vocab_size": 21
} | def check_handle_timedout(self) -> None:
for trade in Trade.get_open_order_trades():
try:
if not trade.open_order_id:
continue
order = self.exchange.fetch_order(trade.open_order_id, trade.pair)
except (ExchangeError):
... | |
18,345 | 87,972 | 590 | tests/snuba/api/endpoints/test_organization_events.py | 119 | 35 | def test_user_misery_denominator(self):
ProjectTransactionThreshold.objects.create(
project=self.project,
organization=self.project.organization,
threshold=600,
metric=TransactionMetric.LCP.value,
)
lcps = [
400,
40... | fix(tests): Discover backend test flakes (#41057)
- `MetricsQueryBuilder` wasn't sorting environment tags
- Consistent timestamps on test_organization_events
- Updated `apply_feature_flag_on_cls` to only apply decorator on the run
method | test_user_misery_denominator | 618ae63cf2ba419e44e79ce578d88e8b062d7dd9 | sentry | test_organization_events.py | 16 | 47 | https://github.com/getsentry/sentry.git | 2 | 287 | 0 | 84 | 478 | Python | {
"docstring": "This is to test against a bug where the denominator of misery(total unique users) was wrong\n This is because the total unique users for a LCP misery should only count users that have had a txn with lcp,\n and not count all transactions (ie. uniq_if(transaction has lcp) not just uniq())\... | def test_user_misery_denominator(self):
ProjectTransactionThreshold.objects.create(
project=self.project,
organization=self.project.organization,
threshold=600,
metric=TransactionMetric.LCP.value,
)
lcps = [
400,
40... | |
12,264 | 60,726 | 62 | .venv/lib/python3.8/site-packages/pip/_internal/index/collector.py | 25 | 7 | def _determine_base_url(document, page_url):
# type: (HTMLElement, str) -> str
for base in document.findall(".//base"):
href = base.get("href")
if href is not None:
return href
return page_url
| upd; format | _determine_base_url | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | collector.py | 11 | 6 | https://github.com/jindongwang/transferlearning.git | 3 | 36 | 0 | 22 | 63 | Python | {
"docstring": "Determine the HTML document's base URL.\n\n This looks for a ``<base>`` tag in the HTML document. If present, its href\n attribute denotes the base URL of anchor tags in the document. If there is\n no such tag (or if it does not have a valid href attribute), the HTML\n file's URL is used a... | def _determine_base_url(document, page_url):
# type: (HTMLElement, str) -> str
for base in document.findall(".//base"):
href = base.get("href")
if href is not None:
return href
return page_url
| |
1,622 | 9,465 | 23 | reconstruction/ostec/external/stylegan2/metrics/precision_recall.py | 10 | 9 | def pairwise_distances(self, U, V):
return self._distance_block.eval(feed_dict={self._features_batch1: U, self._features | initialize ostec | pairwise_distances | 7375ee364e0df2a417f92593e09557f1b2a3575a | insightface | precision_recall.py | 11 | 2 | https://github.com/deepinsight/insightface.git | 1 | 33 | 0 | 9 | 52 | Python | {
"docstring": "Evaluate pairwise distances between two batches of feature vectors.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | def pairwise_distances(self, U, V):
return self._distance_block.eval(feed_dict={self._features_batch1: U, self._features_batch2: V})
#----------------------------------------------------------------------------
| |
25,917 | 117,187 | 421 | mindsdb/migrations/versions/2022-10-14_43c52d23845a_projects.py | 110 | 45 | def upgrade():
op.create_table(
'project',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.Column('deleted_at', sa.DateTime(), nullable=True),
sa.Column('na... | Projects structure (#3532)
Projects structure | upgrade | 7c02e15aa403a4ca1fa34489dd2df9136d6c961c | mindsdb | 2022-10-14_43c52d23845a_projects.py | 15 | 60 | https://github.com/mindsdb/mindsdb.git | 3 | 446 | 0 | 67 | 766 | Python | {
"docstring": "\n update predictor set project_id = :project_id\n \n update view set project_id = :project_id\n \n select id, name from view\n where exists (select 1 from predictor where view.name = predictor.name)\n \n update view\n set name = :name... | def upgrade():
op.create_table(
'project',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('created_at', sa.DateTime(), nullable=True),
sa.Column('updated_at', sa.DateTime(), nullable=True),
sa.Column('deleted_at', sa.DateTime(), nullable=True),
sa.Column('na... | |
24,381 | 111,338 | 89 | spacy/pipeline/span_ruler.py | 21 | 14 | def clear(self) -> None:
self._patterns: List[PatternType] = []
self.matcher: Matcher = Matcher(self.nlp.vocab, validate=self.validate)
self.phrase_matcher: P | Add SpanRuler component (#9880)
* Add SpanRuler component
Add a `SpanRuler` component similar to `EntityRuler` that saves a list
of matched spans to `Doc.spans[spans_key]`. The matches from the token
and phrase matchers are deduplicated and sorted before assignment but
are not otherwise filtered.
* Update spa... | clear | a322d6d5f2f85c2da6cded4fcd6143d41b5a9e96 | spaCy | span_ruler.py | 10 | 13 | https://github.com/explosion/spaCy.git | 1 | 66 | 0 | 19 | 102 | Python | {
"docstring": "Reset all patterns.\n\n RETURNS: None\n DOCS: https://spacy.io/api/spanruler#clear\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 7,
"vocab_size": 7
} | def clear(self) -> None:
self._patterns: List[PatternType] = []
self.matcher: Matcher = Matcher(self.nlp.vocab, validate=self.validate)
self.phrase_matcher: PhraseMatcher = PhraseMatcher(
self.nlp.vocab,
attr=self.phrase_matcher_attr,
validate=self.va... | |
56,928 | 223,483 | 317 | python3.10.4/Lib/doctest.py | 88 | 19 | def _from_module(self, module, object):
if module is None:
return True
elif inspect.getmodule(object) is not None:
return module is inspect.getmodule(object)
elif inspect.isfunction(object):
return module.__dict__ is object.__globals__
elif in... | add python 3.10.4 for windows | _from_module | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | doctest.py | 13 | 23 | https://github.com/XX-net/XX-Net.git | 10 | 148 | 0 | 47 | 242 | Python | {
"docstring": "\n Return true if the given object is defined in the given\n module.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 12,
"vocab_size": 10
} | def _from_module(self, module, object):
if module is None:
return True
elif inspect.getmodule(object) is not None:
return module is inspect.getmodule(object)
elif inspect.isfunction(object):
return module.__dict__ is object.__globals__
elif in... | |
53,568 | 213,001 | 945 | DemoPrograms/Demo_Script_Launcher_ANSI_Color_Output.py | 258 | 33 | def cut_ansi_string_into_parts(string_with_ansi_codes):
color_codes_english = ['Black', 'Red', 'Green', 'Yellow', 'Blue', 'Magenta', 'Cyan', 'White', 'Reset']
color_codes = ["30m", "31m", "32m", "33m", "34m", "35m", "36m", "37m", "0m"]
effect_codes_english = ['Italic', 'Underline', 'Slow Blink', 'Rapid... | Removed old code that used Popen and instead uses the PySimpleGUI Exec API calls for an all-in-one demo. Added expansion of the Multilline and a SizeGrip so that it's obvious to user the window is resizable. | cut_ansi_string_into_parts | a35687ac51dac5a2a0664ca20e7dd7cba6836c7b | PySimpleGUI | Demo_Script_Launcher_ANSI_Color_Output.py | 21 | 57 | https://github.com/PySimpleGUI/PySimpleGUI.git | 19 | 603 | 0 | 131 | 973 | Python | {
"docstring": "\n Converts a string with ambedded ANSI Color Codes and parses it to create\n a list of tuples describing pieces of the input string.\n :param string_with_ansi_codes:\n :return: [(sty, str, str, str), ...] A list of tuples. Each tuple has format: (text, text color, background color, effect... | def cut_ansi_string_into_parts(string_with_ansi_codes):
color_codes_english = ['Black', 'Red', 'Green', 'Yellow', 'Blue', 'Magenta', 'Cyan', 'White', 'Reset']
color_codes = ["30m", "31m", "32m", "33m", "34m", "35m", "36m", "37m", "0m"]
effect_codes_english = ['Italic', 'Underline', 'Slow Blink', 'Rapid... | |
39,296 | 162,765 | 472 | research/neo_peq/legacy_frequency_response.py | 147 | 30 | def interpolate(self, f=None, f_step=DEFAULT_STEP, pol_order=1, f_min=DEFAULT_F_MIN, f_max=DEFAULT_F_MAX):
# Remove None values
i = 0
while i < len(self.raw):
if self.raw[i] is None:
self.raw = np.delete(self.raw, i)
self.frequency = np.delete... | Added PEQ configs to CLI and function interfaces. Improved default value handling for PEQ parameters and added more predefined configs. Removed legacy PEQ optimization. Fixed readme write. Improved shelf filter initialization. Added plot method to PEQ. Notebook for comparing old and new optimizers. Bug fixes. | interpolate | 9120cdffe618c6c2ff16fe6a311b6a1367efdbc8 | AutoEq | legacy_frequency_response.py | 14 | 29 | https://github.com/jaakkopasanen/AutoEq.git | 12 | 273 | 0 | 94 | 423 | Python | {
"docstring": "Interpolates missing values from previous and next value. Resets all but raw data.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | def interpolate(self, f=None, f_step=DEFAULT_STEP, pol_order=1, f_min=DEFAULT_F_MIN, f_max=DEFAULT_F_MAX):
# Remove None values
i = 0
while i < len(self.raw):
if self.raw[i] is None:
self.raw = np.delete(self.raw, i)
self.frequency = np.delete... | |
119,869 | 331,584 | 947 | timm/optim/lars.py | 182 | 34 | def step(self, closure=None):
loss = None
if closure is not None:
with torch.enable_grad():
loss = closure()
device = self.param_groups[0]['params'][0].device
one_tensor = torch.tensor(1.0, device=device) # because torch.where doesn't handle scalars... | fix lars | step | cdcd0a92ca8a3dc120336a5dde1b7d6ecd5e9186 | pytorch-image-models | lars.py | 19 | 44 | https://github.com/huggingface/pytorch-image-models.git | 11 | 331 | 0 | 118 | 534 | Python | {
"docstring": "Performs a single optimization step.\n\n Args:\n closure (callable, optional): A closure that reevaluates the model and returns the loss.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 19,
"vocab_size": 17
} | def step(self, closure=None):
loss = None
if closure is not None:
with torch.enable_grad():
loss = closure()
device = self.param_groups[0]['params'][0].device
one_tensor = torch.tensor(1.0, device=device) # because torch.where doesn't handle scalars... | |
95,399 | 296,416 | 30 | homeassistant/components/hunterdouglas_powerview/cover.py | 9 | 5 | async def _async_force_resync(self, *_):
self._forced_resync = None
| Fix handling of powerview stale state (#70195) | _async_force_resync | 2c2b678e80db615e50a7b72c3ec107730cc6f8dd | core | cover.py | 8 | 3 | https://github.com/home-assistant/core.git | 1 | 20 | 0 | 9 | 37 | Python | {
"docstring": "Force a resync after an update since the hub may have stale state.",
"language": "en",
"n_whitespaces": 12,
"n_words": 13,
"vocab_size": 13
} | async def _async_force_resync(self, *_):
self._forced_resync = None
await self._async_force_refresh_state()
| |
7,511 | 42,251 | 273 | seaborn/palettes.py | 90 | 18 | def set_color_codes(palette="deep"):
if palette == "reset":
colors = [
| Convert color palette docstrings to notebooks (#3034)
* Convert color palette docstrings to notebooks and rerun all with py310 kernel
* Add v0.12.1 release notes to index
* Improve failure mode when ipywidgets is not involved
* Update palettes docstrings
* Remove all other doctest-style examples
* Remov... | set_color_codes | e644793f0ac2b1be178425f20f529121f37f29de | seaborn | palettes.py | 13 | 25 | https://github.com/mwaskom/seaborn.git | 6 | 207 | 0 | 57 | 280 | Python | {
"docstring": "Change how matplotlib color shorthands are interpreted.\n\n Calling this will change how shorthand codes like \"b\" or \"g\"\n are interpreted by matplotlib in subsequent plots.\n\n Parameters\n ----------\n palette : {deep, muted, pastel, dark, bright, colorblind}\n Named seabor... | def set_color_codes(palette="deep"):
if palette == "reset":
colors = [
(0., 0., 1.),
(0., .5, 0.),
(1., 0., 0.),
(.75, 0., .75),
(.75, .75, 0.),
(0., .75, .75),
(0., 0., 0.)
]
elif not isinstance(palette, st... | |
7,877 | 43,220 | 20 | tests/models/test_dagrun.py | 11 | 9 | def test_mapped_literal_length_increase_at_runtime_adds_additional_tis(dag_maker, session):
| Fix mapped task immutability after clear (#23667)
We should be able to detect if the structure of mapped task has changed
and verify the integrity.
This PR ensures this
Co-authored-by: Tzu-ping Chung <uranusjr@gmail.com> | test_mapped_literal_length_increase_at_runtime_adds_additional_tis | b692517ce3aafb276e9d23570e9734c30a5f3d1f | airflow | test_dagrun.py | 9 | 39 | https://github.com/apache/airflow.git | 5 | 311 | 0 | 11 | 51 | Python | {
"docstring": "Test that when the length of mapped literal increases at runtime, additional ti is added",
"language": "en",
"n_whitespaces": 14,
"n_words": 15,
"vocab_size": 15
} | def test_mapped_literal_length_increase_at_runtime_adds_additional_tis(dag_maker, session):
from airflow.models import Variable
Variable.set(key='arg1', value=[1, 2, 3])
| |
116,988 | 319,729 | 44 | src/documents/tests/test_management_convert_thumbnail.py | 16 | 8 | def create_png_thumbnail_file(self, thumb_dir):
thumb_file = Path(thumb_dir) / Path(f"{self.doc.pk:07}.png")
thumb_file.write_text("this is a dummy p | Fixes existing testing, adds test coverage of new command | create_png_thumbnail_file | 08c3d6e84b17da2acfb10250438fe357398e5e0e | paperless-ngx | test_management_convert_thumbnail.py | 13 | 4 | https://github.com/paperless-ngx/paperless-ngx.git | 1 | 28 | 0 | 15 | 62 | Python | {
"docstring": "\n Creates a dummy PNG thumbnail file in the given directory, based on\n the database Document\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 14
} | def create_png_thumbnail_file(self, thumb_dir):
thumb_file = Path(thumb_dir) / Path(f"{self.doc.pk:07}.png")
thumb_file.write_text("this is a dummy png file")
return thumb_file
| |
45,702 | 187,141 | 47 | tests/test_api_validate.py | 16 | 10 | def test_parse_html(self):
a | plugin.api.validate: implement ValidationError
- Implement `ValidationError`
- Inherit from `ValueError` to preserve backwards compatiblity
- Allow collecting multiple errors (AnySchema)
- Keep an error stack of parent `ValidationError`s or other exceptions
- Format error stack when converting error to string
... | test_parse_html | 3d44da082b3ba202b9d0557bfd8ce747a1d7960c | streamlink | test_api_validate.py | 11 | 8 | https://github.com/streamlink/streamlink.git | 1 | 44 | 0 | 15 | 79 | Python | {
"docstring": "\n ValidationError:\n Unable to parse HTML: can only parse strings (None)\n ",
"language": "en",
"n_whitespaces": 42,
"n_words": 10,
"vocab_size": 9
} | def test_parse_html(self):
assert validate(parse_html(), '<!DOCTYPE html><body>"perfectly"<a>valid<div>HTML').tag == "html"
with self.assertRaises(ValueError) as cm:
validate(parse_html(), None)
assert_validationerror(cm.exception, )
| |
75,377 | 258,712 | 264 | sklearn/utils/validation.py | 107 | 16 | def _check_feature_names_in(estimator, input_features=None, *, generate_names=True):
feature_names_in_ = getattr(estimator, "feature_names_in_", None)
n_features_in_ = getattr(estimator, "n_features_in_", None)
if input_features is not None:
input_features = np.asarray(input_features, dtype=o... | ENH Adds feature_names_out to preprocessing module (#21079)
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: 赵丰 (Zhao Feng) <616545598@qq.com>
Co-authored-by: Niket Jain <51831161+nikJ13@users.noreply.github.com>
Co-authored-by: Loïc Estève <loic.esteve@ymail.com> | _check_feature_names_in | d7feac0ccfe1a7b8a55f2e16f249f77508a91fe1 | scikit-learn | validation.py | 16 | 22 | https://github.com/scikit-learn/scikit-learn.git | 10 | 141 | 0 | 62 | 244 | Python | {
"docstring": "Check `input_features` and generate names if needed.\n\n Commonly used in :term:`get_feature_names_out`.\n\n Parameters\n ----------\n input_features : array-like of str or None, default=None\n Input features.\n\n - If `input_features` is `None`, then `feature_names_in_` is\n... | def _check_feature_names_in(estimator, input_features=None, *, generate_names=True):
feature_names_in_ = getattr(estimator, "feature_names_in_", None)
n_features_in_ = getattr(estimator, "n_features_in_", None)
if input_features is not None:
input_features = np.asarray(input_features, dtype=o... | |
41,810 | 176,293 | 41 | networkx/algorithms/shortest_paths/weighted.py | 22 | 6 | def all_pairs_bellman_ford_path(G, weight="weight"):
path = single_source_bellm | DOC: Update documentation to include callables for weight argument (#5307)
Update docs to include functions as valid input for weight argument. | all_pairs_bellman_ford_path | b5d41847b8db0c82372faf69cd3a339d11da7ef0 | networkx | weighted.py | 12 | 4 | https://github.com/networkx/networkx.git | 2 | 33 | 0 | 22 | 54 | Python | {
"docstring": "Compute shortest paths between all nodes in a weighted graph.\n\n Parameters\n ----------\n G : NetworkX graph\n\n weight : string or function (default=\"weight\")\n If this is a string, then edge weights will be accessed via the\n edge attribute with this key (that is, the w... | def all_pairs_bellman_ford_path(G, weight="weight"):
path = single_source_bellman_ford_path
# TODO This can be trivially parallelized.
for n in G:
yield (n, path(G, n, weight=weight))
| |
14,863 | 68,774 | 20 | erpnext/manufacturing/doctype/bom_update_log/test_bom_update_log.py | 24 | 6 | def update_cost_in_all_boms_in_test():
log = enqueue_update_cost() # create BOM Update Log
while log.status != "Completed":
resume_bom_cost_update_jobs() # run cron job until complete
log.reload()
return log
| chore: Less hacky tests, versioning (replace bom) and clearing log data (update cost)
- Remove `auto_commit_on_many_writes` in `update_cost_in_level()` as commits happen every N BOMs
- Auto commit every 50 BOMs
- test: Remove hacky `frappe.flags.in_test` returns
- test: Enqueue `now` if in tests (for update cost and r... | update_cost_in_all_boms_in_test | 3fa0a46f39f7024c5d0b235a7725eaa9ad0f3869 | erpnext | test_bom_update_log.py | 9 | 6 | https://github.com/frappe/erpnext.git | 2 | 27 | 0 | 22 | 54 | Python | {
"docstring": "\n\tUtility to run 'Update Cost' job in tests without Cron job until fully complete.\n\t",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 13
} | def update_cost_in_all_boms_in_test():
log = enqueue_update_cost() # create BOM Update Log
while log.status != "Completed":
resume_bom_cost_update_jobs() # run cron job until complete
log.reload()
return log
| |
45,161 | 185,757 | 81 | src/textual/widgets/_data_table.py | 18 | 10 | def clear(self) -> None:
self.row_count = 0
self._clear_caches()
| ffixed table refresh on add row | clear | b524fa08eecadc83b0b694278db1c79d90feb9d8 | textual | _data_table.py | 8 | 14 | https://github.com/Textualize/textual.git | 1 | 54 | 0 | 15 | 94 | Python | {
"docstring": "Clear the table.\n\n Args:\n columns (bool, optional): Also clear the columns. Defaults to False.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 14,
"vocab_size": 13
} | def clear(self) -> None:
self.row_count = 0
self._clear_caches()
self._y_offsets.clear()
self.data.clear()
self.rows.clear()
self._line_no = 0
self._require_update_dimensions = True
self.refresh()
| |
42,686 | 178,399 | 207 | nuitka/utils/FileOperations.py | 43 | 15 | def copyFile(source_path, dest_path):
while 1:
try:
shutil.copyfile(source_path, dest_path)
except PermissionError as e:
if e.errno != errno.EACCES:
raise
general.warning("Problem copying file %s:" % e)
try:
repl... | UI: In case of PermissionError, allow uses to retry
* Esp. on Windows it happens a lot that running programs cannot be
updated by Nuitka, this avoids the cryptic error somewhere ranomly. | copyFile | 2c20b90946a8aa5ad4ee39ad365ff1b83f182770 | Nuitka | FileOperations.py | 17 | 16 | https://github.com/Nuitka/Nuitka.git | 7 | 72 | 0 | 37 | 132 | Python | {
"docstring": "Improved version of shutil.copy\n\n This handles errors with a chance to correct them, e.g. on Windows, files might be\n locked by running program or virus checkers.\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 26,
"vocab_size": 26
} | def copyFile(source_path, dest_path):
while 1:
try:
shutil.copyfile(source_path, dest_path)
except PermissionError as e:
if e.errno != errno.EACCES:
raise
general.warning("Problem copying file %s:" % e)
try:
repl... | |
76,027 | 259,994 | 106 | sklearn/ensemble/tests/test_iforest.py | 37 | 14 | def test_iforest(global_random_seed):
X_train = np.array([[0, 1], [1, 2]])
X_test = np.array([[2, 1], [1, 1]])
grid = ParameterGrid(
{"n_estimators": [3], "max_samples": [0.5, 1.0, 3], "bootstrap": [True, False]}
)
with ignore_warnings():
for params in grid:
Isolat... | TST use global_random_seed in sklearn/ensemble/tests/test_iforest.py (#22901)
Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> | test_iforest | 6ca1f5e4d0d16bc9a7f28582079a15e14f012719 | scikit-learn | test_iforest.py | 16 | 11 | https://github.com/scikit-learn/scikit-learn.git | 2 | 109 | 0 | 32 | 164 | Python | {
"docstring": "Check Isolation Forest for various parameter settings.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | def test_iforest(global_random_seed):
X_train = np.array([[0, 1], [1, 2]])
X_test = np.array([[2, 1], [1, 1]])
grid = ParameterGrid(
{"n_estimators": [3], "max_samples": [0.5, 1.0, 3], "bootstrap": [True, False]}
)
with ignore_warnings():
for params in grid:
Isolat... | |
55,189 | 218,189 | 22 | python3.10.4/Lib/importlib/abc.py | 7 | 9 | def invalidate_caches(self):
_register | add python 3.10.4 for windows | invalidate_caches | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | XX-Net | abc.py | 6 | 1 | https://github.com/XX-net/XX-Net.git | 1 | 6 | 0 | 7 | 40 | Python | {
"docstring": "An optional method for clearing the finder's cache, if any.\n This method is used by importlib.invalidate_caches().\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 16,
"vocab_size": 15
} | def invalidate_caches(self):
_register(MetaPathFinder, machinery.BuiltinImporter, machinery.FrozenImporter,
machinery.PathFinder, machinery.WindowsRegistryFinder)
| |
17,223 | 81,589 | 131 | awx/main/dispatch/reaper.py | 49 | 28 | def reap(instance=None, status='failed', excluded_uuids=[]):
me = instance
if me is None:
try:
me = Instance.objects.me()
except RuntimeError as e:
logger.warning(f'Local instance is not registered, not running reaper: {e}')
return
workflow_ctype_id =... | Split reaper for running and waiting jobs
Avoid running jobs that have already been reapted
Co-authored-by: Elijah DeLee <kdelee@redhat.com>
Remove unnecessary extra actions
Fix waiting jobs in other cases of reaping | reap | 278db2cddebec97ec48011ecae45129be1ac43a4 | awx | reaper.py | 18 | 14 | https://github.com/ansible/awx.git | 4 | 122 | 0 | 40 | 205 | Python | {
"docstring": "\n Reap all jobs in running for this instance.\n ",
"language": "en",
"n_whitespaces": 15,
"n_words": 8,
"vocab_size": 8
} | def reap(instance=None, status='failed', excluded_uuids=[]):
me = instance
if me is None:
try:
me = Instance.objects.me()
except RuntimeError as e:
logger.warning(f'Local instance is not registered, not running reaper: {e}')
return
workflow_ctype_id =... | |
7,566 | 42,481 | 106 | nltk/corpus/reader/wordnet.py | 44 | 12 | def closure(self, rel, depth=-1):
from nltk.util import acyclic_breadth_first
for synset in acyclic_breadth_first(self, rel, depth):
if s | Fix some tests in Wordnet-related DocStrings | closure | 692adaff901dd9daf29400fdf3385130aefbfb2a | nltk | wordnet.py | 10 | 5 | https://github.com/nltk/nltk.git | 3 | 38 | 0 | 29 | 89 | Python | {
"docstring": "\n Return the transitive closure of source under the rel\n relationship, breadth-first, discarding cycles:\n\n >>> from nltk.corpus import wordnet as wn\n >>> computer = wn.synset('computer.n.01')\n >>> topic = lambda s:s.topic_domains()\n >>> print(list(compu... | def closure(self, rel, depth=-1):
from nltk.util import acyclic_breadth_first
for synset in acyclic_breadth_first(self, rel, depth):
if synset != self:
yield synset
from nltk.util import acyclic_depth_first as acyclic_tree
from nltk.util import unweighted_... | |
20,505 | 101,068 | 157 | plugins/convert/writer/opencv.py | 46 | 13 | def _get_save_args(self) -> Tuple[int, ...]:
filetype = self | Convert: Add option to output mask separately for draw-transparent | _get_save_args | 049314429f71a21e6595e9d27e9e36f6a3479c42 | faceswap | opencv.py | 11 | 18 | https://github.com/deepfakes/faceswap.git | 5 | 98 | 0 | 31 | 165 | Python | {
"docstring": " Obtain the save parameters for the file format.\n\n Returns\n -------\n tuple\n The OpenCV specific arguments for the selected file format\n ",
"language": "en",
"n_whitespaces": 61,
"n_words": 20,
"vocab_size": 16
} | def _get_save_args(self) -> Tuple[int, ...]:
filetype = self.config["format"]
args: Tuple[int, ...] = tuple()
if filetype == "jpg" and self.config["jpg_quality"] > 0:
args = (cv2.IMWRITE_JPEG_QUALITY, # pylint: disable=no-member
self.config["jpg_quality"... | |
22,598 | 107,133 | 32 | lib/matplotlib/figure.py | 7 | 7 | def set_constrained_layout_pads(self, **kwargs):
if isinstance(self.get_layout_engine(), ConstrainedLayoutEngine):
self. | ENH: implement and use base layout_engine for more flexible layout. | set_constrained_layout_pads | ec4dfbc3c83866f487ff0bc9c87b0d43a1c02b22 | matplotlib | figure.py | 11 | 3 | https://github.com/matplotlib/matplotlib.git | 2 | 32 | 0 | 7 | 55 | Python | {
"docstring": "\n Set padding for ``constrained_layout``.\n\n Tip: The parameters can be passed from a dictionary by using\n ``fig.set_constrained_layout(**pad_dict)``.\n\n See :doc:`/tutorials/intermediate/constrainedlayout_guide`.\n\n Parameters\n ----------\n w_pad... | def set_constrained_layout_pads(self, **kwargs):
if isinstance(self.get_layout_engine(), ConstrainedLayoutEngine):
self.get_layout_engine().set(**kwargs)
| |
35,062 | 151,595 | 85 | freqtrade/freqai/freqai_interface.py | 32 | 6 | def track_current_candle(self):
if self.dd.current_candle > self.current_candle:
self.get_corr_dataframes = True
| start tracking the current candle in FreqAI, add robustness to corr_df caching and inference timer, add test for cache corr_df | track_current_candle | 255eb71270991fe480cd642ee5ea2ce69964f8a9 | freqtrade | freqai_interface.py | 10 | 5 | https://github.com/freqtrade/freqtrade.git | 2 | 36 | 0 | 28 | 62 | Python | {
"docstring": "\n Checks if the latest candle appended by the datadrawer is\n equivalent to the latest candle seen by FreqAI. If not, it\n asks to refresh the cached corr_dfs, and resets the pair\n counter.\n ",
"language": "en",
"n_whitespaces": 68,
"n_words": 32,
"vocab_s... | def track_current_candle(self):
if self.dd.current_candle > self.current_candle:
self.get_corr_dataframes = True
self.pair_it = 0
self.current_candle = self.dd.current_candle
# Following methods which are overridden by user made prediction models.
# See freq... | |
13,215 | 63,228 | 76 | .venv/lib/python3.8/site-packages/pip/_vendor/pkg_resources/__init__.py | 26 | 8 | def find(self, req):
dist = self.by_key.get(req.key)
if dist is not None and dist not in req:
# XXX a | upd; format | find | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | transferlearning | __init__.py | 9 | 5 | https://github.com/jindongwang/transferlearning.git | 3 | 40 | 0 | 22 | 64 | Python | {
"docstring": "Find a distribution matching requirement `req`\n\n If there is an active distribution for the requested project, this\n returns it as long as it meets the version requirement specified by\n `req`. But, if there is an active distribution for the project and it\n does *not* ... | def find(self, req):
dist = self.by_key.get(req.key)
if dist is not None and dist not in req:
# XXX add more info
raise VersionConflict(dist, req)
return dist
| |
25,019 | 113,746 | 161 | nni/mutable/frozen.py | 36 | 13 | def current() -> dict | None:
try:
ContextStack.top(_FROZEN_CONTEXT_KEY)
sample: Sample = {}
for ctx in ContextStack | Mutable equal, frozen context, new labels (#5247) | current | a67180283b8d273b19f6a3497c6b898ab0c97b7d | nni | frozen.py | 15 | 19 | https://github.com/microsoft/nni.git | 4 | 61 | 0 | 35 | 106 | Python | {
"docstring": "Retrieve the current frozen context.\n If multiple layers have been found, they would be merged from bottom to top.\n\n Returns\n -------\n The sample in frozen context.\n If no sample is found, return none.\n ",
"language": "en",
"n_whitespaces": 75,
"n... | def current() -> dict | None:
try:
ContextStack.top(_FROZEN_CONTEXT_KEY)
sample: Sample = {}
for ctx in ContextStack.stack(_FROZEN_CONTEXT_KEY):
if not isinstance(ctx, dict):
raise TypeError(f'Expect architecture to be a dict, foun... | |
44 | 70 | 371 | packages/syft/tests/syft/core/tensor/tensor_serde_test.py | 230 | 37 | def test_rept_child() -> None:
rows = 10_000
cols = 7
rept_row_count = 5
# these times and sizes are based on the above constants
# and Madhavas MacBook Pro 2019
expected_rept_mem_size = 4.010650634765625
expected_rept_ser_size = 7.4926300048828125
macbook_pro_2019_ser_time = 0.187... | Started DPTensor resource optimization
- Added initial REPT and SEPT benchmarking tests
- Deleted unused old Tensor classes
- Added pympler for memory size tests
Co-authored-by: @IshanMi
Co-authored-by: @rasswanth-s | test_rept_child | 10ae1d589044a6ae4722ead7aedc63fcdc4923b5 | PySyft | tensor_serde_test.py | 10 | 41 | https://github.com/OpenMined/PySyft.git | 2 | 278 | 0 | 132 | 501 | Python | {
"docstring": "We need to benchmark both the size and time to serialize and deserialize REPTs",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 12
} | def test_rept_child() -> None:
rows = 10_000
cols = 7
rept_row_count = 5
# these times and sizes are based on the above constants
# and Madhavas MacBook Pro 2019
expected_rept_mem_size = 4.010650634765625
expected_rept_ser_size = 7.4926300048828125
macbook_pro_2019_ser_time = 0.187... | |
48,294 | 197,037 | 798 | sympy/ntheory/ecm.py | 319 | 56 | def _ecm_one_factor(n, B1=10000, B2=100000, max_curve=200):
n = as_int(n)
if B1 % 2 != 0 or B2 % 2 != 0:
raise ValueError("The Bounds should be an even integer")
sieve.extend(B2)
if isprime(n):
return n
from sympy.functions.elementary.miscellaneous import sqrt
from sympy.p... | Refactored import ordering in functions | _ecm_one_factor | e0dc14eca132f37c5f49369eb4051eae37c9b119 | sympy | ecm.py | 19 | 58 | https://github.com/sympy/sympy.git | 15 | 615 | 0 | 170 | 933 | Python | {
"docstring": "Returns one factor of n using\n Lenstra's 2 Stage Elliptic curve Factorization\n with Suyama's Parameterization. Here Montgomery\n arithmetic is used for fast computation of addition\n and doubling of points in elliptic curve.\n\n This ECM method considers elliptic curves in Montgomery\... | def _ecm_one_factor(n, B1=10000, B2=100000, max_curve=200):
n = as_int(n)
if B1 % 2 != 0 or B2 % 2 != 0:
raise ValueError("The Bounds should be an even integer")
sieve.extend(B2)
if isprime(n):
return n
from sympy.functions.elementary.miscellaneous import sqrt
from sympy.p... | |
107,219 | 308,463 | 386 | tests/components/command_line/test_cover.py | 78 | 11 | async def test_unique_id(hass):
await setup_test_entity(
hass,
{
"unique": {
"command_open": "echo open",
"command_close": "echo close",
"command_stop": "echo stop",
"u | Add unique_id configuration variable to command_line integration (#58596) | test_unique_id | d26275011ae4e8ba0a8dcdc2a7ef81b5911d3900 | core | test_cover.py | 13 | 32 | https://github.com/home-assistant/core.git | 1 | 138 | 0 | 38 | 264 | Python | {
"docstring": "Test unique_id option and if it only creates one cover per id.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | async def test_unique_id(hass):
await setup_test_entity(
hass,
{
"unique": {
"command_open": "echo open",
"command_close": "echo close",
"command_stop": "echo stop",
"unique_id": "unique",
},
"no... | |
@pytest.fixture | 88,829 | 289,693 | 110 | tests/components/mqtt/test_config_flow.py | 28 | 7 | def mock_ssl_context():
with patch(
"homeassistant.components.mqtt.config_flow.SSLC | Move advanced MQTT options to entry (#79351)
* Move advanced broker settings to entry
* Add repair issue for deprecated settings
* Split CONFIG_SCHEMA
* Do not store certificate UI flags in entry
* Keep entered password in next dialog
* Do not process yaml config in flow
* Correct typo | mock_ssl_context | 5e7f571f019c0b992b9cb8ffa545c12e8169d395 | core | test_config_flow.py | 11 | 13 | https://github.com/home-assistant/core.git | 1 | 42 | 1 | 20 | 92 | Python | {
"docstring": "Mock the SSL context used to load the cert chain and to load verify locations.",
"language": "en",
"n_whitespaces": 14,
"n_words": 15,
"vocab_size": 12
} | def mock_ssl_context():
with patch(
"homeassistant.components.mqtt.config_flow.SSLContext"
) as mock_context, patch(
"homeassistant.components.mqtt.config_flow.load_pem_private_key"
) as mock_key_check, patch(
"homeassistant.components.mqtt.config_flow.load_pem_x509_certificate"... |
7,671 | 42,640 | 274 | tests/cli/commands/test_task_command.py | 21 | 13 | def test_task_states_for_dag_run_when_dag_run_not_exists(self):
with pytest.raises(DagRunNotFound):
default_date2 = t | Replaced all days_ago functions with datetime functions (#23237)
Co-authored-by: Dev232001 <thedevhooda@gmail.com> | test_task_states_for_dag_run_when_dag_run_not_exists | f352ee63a5d09546a7997ba8f2f8702a1ddb4af7 | airflow | test_task_command.py | 14 | 15 | https://github.com/apache/airflow.git | 1 | 56 | 0 | 20 | 97 | Python | {
"docstring": "\n task_states_for_dag_run should return an AirflowException when invalid dag id is passed\n ",
"language": "en",
"n_whitespaces": 26,
"n_words": 11,
"vocab_size": 11
} | def test_task_states_for_dag_run_when_dag_run_not_exists(self):
with pytest.raises(DagRunNotFound):
default_date2 = timezone.datetime(2016, 1, 9)
task_command.task_states_for_dag_run(
self.parser.parse_args(
[
'tasks',
... | |
15,993 | 73,217 | 29 | wagtail/contrib/modeladmin/tests/test_page_modeladmin.py | 8 | 5 | def test_title_present(self):
response = self.get(4)
self.assertConta | Reformat with black | test_title_present | d10f15e55806c6944827d801cd9c2d53f5da4186 | wagtail | test_page_modeladmin.py | 8 | 3 | https://github.com/wagtail/wagtail.git | 1 | 24 | 0 | 8 | 42 | Python | {
"docstring": "\n The page title should appear three times. Once in the header, and two times\n in the field listing (as the actual title and as the draft title)\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 27,
"vocab_size": 21
} | def test_title_present(self):
response = self.get(4)
self.assertContains(response, "Christmas", 3)
| |
22,669 | 107,267 | 121 | lib/matplotlib/axes/_base.py | 30 | 16 | def _set_position(self, pos, which='both'):
i | Fix typos | _set_position | f7e4349b6c20d127e88a8f750fe1df7462350971 | matplotlib | _base.py | 12 | 9 | https://github.com/matplotlib/matplotlib.git | 5 | 85 | 0 | 23 | 143 | Python | {
"docstring": "\n Private version of set_position.\n\n Call this internally to get the same functionality of `set_position`,\n but not to take the axis out of the constrained_layout hierarchy.\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 25,
"vocab_size": 20
} | def _set_position(self, pos, which='both'):
if not isinstance(pos, mtransforms.BboxBase):
pos = mtransforms.Bbox.from_bounds(*pos)
for ax in self._twinned_axes.get_siblings(self):
if which in ('both', 'active'):
ax._position.set(pos)
if which ... |
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